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ORCIDAngelia Nedic
Angelia Nedich
Person information
- affiliation: Arizona State University, Electrical, Computer, and Energy Engineering, Tempe, USA
- affiliation: University of Illinois at Urbana-Champaign, USA
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Books and Theses
- 2002
[b1]Angelia Nedic:
Subgradient methods for convex minimization. Massachusetts Institute of Technology, Cambridge, MA, USA, 2002
Journal Articles
- 2024
- [j80]Hongzhe Liu, Wenwu Yu, Wei Xing Zheng, Angelia Nedic, Yanan Zhu:
Distributed constrained optimization algorithms with linear convergence rate over time-varying unbalanced graphs. Autom. 159: 111346 (2024) - [j79]Yongqiang Wang
, Angelia Nedic:
Tailoring Gradient Methods for Differentially Private Distributed Optimization. IEEE Trans. Autom. Control. 69(2): 872-887 (2024) - 2023
- [j78]Huan Gao, Yongqiang Wang, Angelia Nedic:
Dynamics based privacy preservation in decentralized optimization. Autom. 151: 110878 (2023) - [j77]Duong Thuy Anh Nguyen, Duong Tung Nguyen, Angelia Nedic:
Geometric Convergence of Distributed Heavy-Ball Nash Equilibrium Algorithm Over Time-Varying Digraphs With Unconstrained Actions. IEEE Control. Syst. Lett. 7: 1963-1968 (2023) - [j76]Duong Thuy Anh Nguyen, Mattia Bianchi, Florian Dörfler, Duong Tung Nguyen, Angelia Nedic:
Nash Equilibrium Seeking Over Digraphs With Row-Stochastic Matrices and Network-Independent Step-Sizes. IEEE Control. Syst. Lett. 7: 3543-3548 (2023) - 2022
- [j75]Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian:
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization. Math. Oper. Res. 47(1): 690-719 (2022) - [j74]Wicak Ananduta, Angelia Nedic, Carlos Ocampo-Martinez:
Distributed Augmented Lagrangian Method for Link-Based Resource Sharing Problems of Multiagent Systems. IEEE Trans. Autom. Control. 67(6): 3067-3074 (2022) - [j73]César A. Uribe, Alex Olshevsky, Angelia Nedic:
Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social Learning. IEEE Trans. Control. Netw. Syst. 9(3): 1128-1140 (2022) - [j72]César A. Uribe, Alex Olshevsky, Angelia Nedic:
Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis Sets. IEEE Trans. Control. Netw. Syst. 9(3): 1141-1153 (2022) - [j71]Michal Yemini, Angelia Nedic, Andrea J. Goldsmith, Stephanie Gil:
Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems. IEEE Trans. Robotics 38(1): 71-91 (2022) - 2021
- [j70]Philip E. Paré, Ji Liu, Carolyn L. Beck, Angelia Nedic, Tamer Basar:
Multi-competitive viruses over time-varying networks with mutations and human awareness. Autom. 123: 109330 (2021) - [j69]Ion Necoara, Angelia Nedic:
Minibatch stochastic subgradient-based projection algorithms for feasibility problems with convex inequalities. Comput. Optim. Appl. 80(1): 121-152 (2021) - [j68]Shi Pu, Angelia Nedic:
Distributed stochastic gradient tracking methods. Math. Program. 187(1): 409-457 (2021) - [j67]César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
A dual approach for optimal algorithms in distributed optimization over networks. Optim. Methods Softw. 36(1): 171-210 (2021) - [j66]Tatiana Tatarenko, Angelia Nedich:
A Smooth Inexact Penalty Reformulation of Convex Problems with Linear Constraints. SIAM J. Optim. 31(3): 2141-2170 (2021) - [j65]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
Push-Pull Gradient Methods for Distributed Optimization in Networks. IEEE Trans. Autom. Control. 66(1): 1-16 (2021) - [j64]Giuseppe Belgioioso, Angelia Nedic, Sergio Grammatico:
Distributed Generalized Nash Equilibrium Seeking in Aggregative Games on Time-Varying Networks. IEEE Trans. Autom. Control. 66(5): 2061-2075 (2021) - [j63]Tatiana Tatarenko, Wei Shi, Angelia Nedic:
Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking. IEEE Trans. Autom. Control. 66(11): 5342-5353 (2021) - 2020
- [j62]Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione:
Accelerating incremental gradient optimization with curvature information. Comput. Optim. Appl. 76(2): 347-380 (2020) - [j61]Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat, Ali H. Sayed:
Optimization for Data-Driven Learning and Control. Proc. IEEE 108(11): 1863-1868 (2020) - [j60]Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan:
A General Framework for Decentralized Optimization With First-Order Methods. Proc. IEEE 108(11): 1869-1889 (2020) - [j59]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis. SIAM J. Optim. 30(2): 1144-1172 (2020) - [j58]Angelia Nedic:
Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization. IEEE Signal Process. Mag. 37(3): 92-101 (2020) - [j57]Alexander Rogozin, César A. Uribe, Alexander V. Gasnikov, Nikolay Malkovsky, Angelia Nedic:
Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs. IEEE Trans. Control. Netw. Syst. 7(2): 829-841 (2020) - [j56]Nurullah Karakoç, Anna Scaglione, Angelia Nedic, Martin Reisslein:
Multi-Layer Decomposition of Network Utility Maximization Problems. IEEE/ACM Trans. Netw. 28(5): 2077-2091 (2020) - 2019
- [j55]Craig Wilson, Venugopal V. Veeravalli, Angelia Nedic:
Adaptive Sequential Stochastic Optimization. IEEE Trans. Autom. Control. 64(2): 496-509 (2019) - [j54]Ji Liu, Philip E. Paré, Angelia Nedic, Choon Yik Tang, Carolyn L. Beck, Tamer Basar:
Analysis and Control of a Continuous-Time Bi-Virus Model. IEEE Trans. Autom. Control. 64(12): 4891-4906 (2019) - [j53]S. Rasoul Etesami, Sadegh Bolouki, Angelia Nedic, Tamer Basar, H. Vincent Poor:
Influence of Conformist and Manipulative Behaviors on Public Opinion. IEEE Trans. Control. Netw. Syst. 6(1): 202-214 (2019) - [j52]Shahzad F. Bhatti, Carolyn L. Beck, Angelia Nedic:
Data Clustering and Graph Partitioning via Simulated Mixing. IEEE Trans. Netw. Sci. Eng. 6(3): 253-266 (2019) - 2018
- [j51]Angelia Nedic, Ji Liu:
Distributed Optimization for Control. Annu. Rev. Control. Robotics Auton. Syst. 1: 77-103 (2018) - [j50]Angelia Nedic, Alex Olshevsky, Michael G. Rabbat:
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization. Proc. IEEE 106(5): 953-976 (2018) - [j49]Soomin Lee, Angelia Nedic, Maxim Raginsky:
Coordinate Dual Averaging for Decentralized Online Optimization With Nonseparable Global Objectives. IEEE Trans. Control. Netw. Syst. 5(1): 34-44 (2018) - [j48]Philip E. Pare, Carolyn L. Beck, Angelia Nedic:
Epidemic Processes Over Time-Varying Networks. IEEE Trans. Control. Netw. Syst. 5(3): 1322-1334 (2018) - 2017
- [j47]Ji Liu, A. Stephen Morse, Angelia Nedic, Tamer Basar:
Exponential convergence of a distributed algorithm for solving linear algebraic equations. Autom. 83: 37-46 (2017) - [j46]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems. Math. Program. 165(1): 391-431 (2017) - [j45]Angelia Nedic, Alex Olshevsky, Wei Shi:
Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs. SIAM J. Optim. 27(4): 2597-2633 (2017) - [j44]Angelia Nedic, Ji Liu:
On Convergence Rate of Weighted-Averaging Dynamics for Consensus Problems. IEEE Trans. Autom. Control. 62(2): 766-781 (2017) - [j43]Kobi Cohen, Angelia Nedic, R. Srikant:
Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. IEEE Trans. Autom. Control. 62(6): 2854-2869 (2017) - [j42]Matthew T. Hale, Angelia Nedic, Magnus Egerstedt:
Asynchronous Multiagent Primal-Dual Optimization. IEEE Trans. Autom. Control. 62(9): 4421-4435 (2017) - [j41]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Fast Convergence Rates for Distributed Non-Bayesian Learning. IEEE Trans. Autom. Control. 62(11): 5538-5553 (2017) - [j40]Kobi Cohen, Angelia Nedic, R. Srikant:
On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. IEEE Trans. Autom. Control. 62(11): 5974-5981 (2017) - [j39]Soomin Lee, Angelia Nedic, Maxim Raginsky:
Stochastic Dual Averaging for Decentralized Online Optimization on Time-Varying Communication Graphs. IEEE Trans. Autom. Control. 62(12): 6407-6414 (2017) - 2016
- [j38]Maxim Raginsky, Angelia Nedic:
Online Discrete Optimization in Social Networks in the Presence of Knightian Uncertainty. Oper. Res. 64(3): 662-679 (2016) - [j37]Jayash Koshal, Angelia Nedic, Uday V. Shanbhag:
Distributed Algorithms for Aggregative Games on Graphs. Oper. Res. 64(3): 680-704 (2016) - [j36]Soomin Lee, Angelia Nedic:
Asynchronous Gossip-Based Random Projection Algorithms Over Networks. IEEE Trans. Autom. Control. 61(4): 953-968 (2016) - [j35]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games. IEEE Trans. Autom. Control. 61(7): 1753-1766 (2016) - [j34]Angelia Nedic, Alex Olshevsky:
Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs. IEEE Trans. Autom. Control. 61(12): 3936-3947 (2016) - 2015
- [j33]Angelia Nedich:
Convergence Rate of Distributed Averaging Dynamics and Optimization in Networks. Found. Trends Syst. Control. 2(1): 1-100 (2015) - [j32]Angelia Nedic, Alex Olshevsky:
Distributed Optimization Over Time-Varying Directed Graphs. IEEE Trans. Autom. Control. 60(3): 601-615 (2015) - 2014
- [j31]Angelia Nedic, Soomin Lee:
On Stochastic Subgradient Mirror-Descent Algorithm with Weighted Averaging. SIAM J. Optim. 24(1): 84-107 (2014) - [j30]Behrouz Touri, Angelia Nedic:
Product of Random Stochastic Matrices. IEEE Trans. Autom. Control. 59(2): 437-448 (2014) - [j29]Tsung-Hui Chang, Angelia Nedic, Anna Scaglione:
Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method. IEEE Trans. Autom. Control. 59(6): 1524-1538 (2014) - [j28]Amir Beck, Angelia Nedic, Asuman E. Ozdaglar, Marc Teboulle:
An O(1/k) Gradient Method for Network Resource Allocation Problems. IEEE Trans. Control. Netw. Syst. 1(1): 64-73 (2014) - 2013
- [j27]Soomin Lee, Angelia Nedic:
Distributed Random Projection Algorithm for Convex Optimization. IEEE J. Sel. Top. Signal Process. 7(2): 221-229 (2013) - [j26]Jayash Koshal, Angelia Nedic, Uday V. Shanbhag:
Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems. IEEE Trans. Autom. Control. 58(3): 594-609 (2013) - [j25]Angelia Nedic, Dario Bauso:
Dynamic Coalitional TU Games: Distributed Bargaining Among Players' Neighbors. IEEE Trans. Autom. Control. 58(6): 1363-1376 (2013) - [j24]Vitaly Skachek, Olgica Milenkovic, Angelia Nedic:
Hybrid Noncoherent Network Coding. IEEE Trans. Inf. Theory 59(6): 3317-3331 (2013) - 2012
- [j23]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
On stochastic gradient and subgradient methods with adaptive steplength sequences. Autom. 48(1): 56-67 (2012) - [j22]Behrouz Touri, Angelia Nedic:
On backward product of stochastic matrices. Autom. 48(8): 1477-1488 (2012) - [j21]S. Sundhar Ram, Angelia Nedic, Venugopal V. Veeravalli:
A new class of distributed optimization algorithms: application to regression of distributed data. Optim. Methods Softw. 27(1): 71-88 (2012) - [j20]Behrouz Touri, Angelia Nedic:
On Approximations and Ergodicity Classes in Random Chains. IEEE Trans. Autom. Control. 57(11): 2718-2730 (2012) - 2011
- [j19]Kunal Srivastava, Angelia Nedic:
Distributed Asynchronous Constrained Stochastic Optimization. IEEE J. Sel. Top. Signal Process. 5(4): 772-790 (2011) - [j18]Angelia Nedic:
Random algorithms for convex minimization problems. Math. Program. 129(2): 225-253 (2011) - [j17]Jayash Koshal, Angelia Nedic, Uday V. Shanbhag:
Multiuser Optimization: Distributed Algorithms and Error Analysis. SIAM J. Optim. 21(3): 1046-1081 (2011) - [j16]Angelia Nedic:
Asynchronous Broadcast-Based Convex Optimization Over a Network. IEEE Trans. Autom. Control. 56(6): 1337-1351 (2011) - [j15]Behrouz Touri, Angelia Nedic:
On Ergodicity, Infinite Flow, and Consensus in Random Models. IEEE Trans. Autom. Control. 56(7): 1593-1605 (2011) - 2010
- [j14]Angelia Nedic, Asuman E. Ozdaglar:
Convergence rate for consensus with delays. J. Glob. Optim. 47(3): 437-456 (2010) - [j13]S. Sundhar Ram, Angelia Nedic, Venugopal V. Veeravalli:
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization. J. Optim. Theory Appl. 147(3): 516-545 (2010) - [j12]Angelia Nedic, Dimitri P. Bertsekas:
The effect of deterministic noise in subgradient methods. Math. Program. 125(1): 75-99 (2010) - [j11]S. Sundhar Ram, Venugopal V. Veeravalli, Angelia Nedic:
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models. IEEE Trans. Autom. Control. 55(2): 488-492 (2010) - [j10]Angelia Nedic, Asuman E. Ozdaglar, Pablo A. Parrilo:
Constrained Consensus and Optimization in Multi-Agent Networks. IEEE Trans. Autom. Control. 55(4): 922-938 (2010) - 2009
- [j9]Angelia Nedic, Asuman E. Ozdaglar:
Subgradient Methods for Saddle-Point Problems. J. Optimization Theory and Applications 142(1): 205-228 (2009) - [j8]Angelia Nedic, Asuman E. Ozdaglar:
Approximate Primal Solutions and Rate Analysis for Dual Subgradient Methods. SIAM J. Optim. 19(4): 1757-1780 (2009) - [j7]S. Sundhar Ram, Angelia Nedic, Venugopal V. Veeravalli:
Incremental Stochastic Subgradient Algorithms for Convex Optimization. SIAM J. Optim. 20(2): 691-717 (2009) - [j6]Angelia Nedic, Asuman E. Ozdaglar:
Distributed Subgradient Methods for Multi-Agent Optimization. IEEE Trans. Autom. Control. 54(1): 48-61 (2009) - [j5]Angelia Nedic, Alexander Olshevsky, Asuman E. Ozdaglar, John N. Tsitsiklis:
On Distributed Averaging Algorithms and Quantization Effects. IEEE Trans. Autom. Control. 54(11): 2506-2517 (2009) - 2008
- [j4]Angelia Nedic, Asuman E. Ozdaglar:
A geometric framework for nonconvex optimization duality using augmented lagrangian functions. J. Glob. Optim. 40(4): 545-573 (2008) - [j3]Angelia Nedic, Asuman E. Ozdaglar:
Separation of Nonconvex Sets with General Augmenting Functions. Math. Oper. Res. 33(3): 587-605 (2008) - 2003
- [j2]Angelia Nedic, Dimitri P. Bertsekas:
Least Squares Policy Evaluation Algorithms with Linear Function Approximation. Discret. Event Dyn. Syst. 13(1-2): 79-110 (2003) - 2001
- [j1]Angelia Nedic, Dimitri P. Bertsekas:
Incremental Subgradient Methods for Nondifferentiable Optimization. SIAM J. Optim. 12(1): 109-138 (2001)
Conference and Workshop Papers
- 2023
- [c111]Duong Thuy Anh Nguyen, Duong Tung Nguyen, Angelia Nedic:
Distributed Stochastic Optimization with Gradient Tracking over Time- Varying Directed Networks. ACSSC 2023: 1605-1609 - [c110]Sina Arefizadeh, Angelia Nedic:
Characterization of Potential Games: Application in Aggregative Games. Allerton 2023: 1-6 - [c109]Yongqiang Wang, Angelia Nedic:
Differentially-Private Distributed Optimization with Guaranteed Optimality. CDC 2023: 4162-4169 - [c108]Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedich:
Learning Trust Over Directed Graphs in Multiagent Systems. L4DC 2023: 142-154 - [c107]Duong Thuy Anh Nguyen, Jiaming Cheng, Duong Tung Nguyen, Angelia Nedic:
CrowdCache: A Decentralized Game-Theoretic Framework for Mobile Edge Content Sharing. WiOpt 2023: 350-357 - 2022
- [c106]Michal Yemini, Angelia Nedic, Stephanie Gil, Andrea J. Goldsmith:
Resilience to Malicious Activity in Distributed Optimization for Cyberphysical Systems. CDC 2022: 4185-4192 - [c105]Sina Arefizadeh, Angelia Nedic:
A Distributed Algorithm for Aggregative Games on Directed Communication Graphs. CDC 2022: 6407-6412 - 2021
- [c104]Eli Chien, Olgica Milenkovic, Angelia Nedich:
Support Estimation with Sampling Artifacts and Errors. ISIT 2021: 244-249 - 2020
- [c103]Angelia Nedic, Tatiana Tatarenko:
Convergence Rate of a Penalty Method for Strongly Convex Problems with Linear Constraints. CDC 2020: 372-377 - [c102]Wicak Ananduta, Carlos Ocampo-Martinez, Angelia Nedic:
Accelerated Multi-Agent Optimization Method over Stochastic Networks. CDC 2020: 2961-2966 - [c101]Parth K. Thaker, Gautam Dasarathy, Angelia Nedic:
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems. ISIT 2020: 1438-1443 - [c100]César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. ITA 2020: 1-37 - 2019
- [c99]Angelia Nedic, Ion Necoara:
Random minibatch projection algorithms for convex feasibility problems. CDC 2019: 1507-1512 - [c98]Giuseppe Belgioioso, Angelia Nedic, Sergio Grammatico:
Distributed generalized Nash equilibrium seeking in aggregative games under partial-decision information via dynamic tracking. CDC 2019: 5948-5954 - [c97]Nikhil Ravi, Anna Scaglione, Angelia Nedic:
A Case of Distributed Optimization in Adversarial Environment. ICASSP 2019: 5252-5256 - 2018
- [c96]Angelia Nedic, Alex Olshevsky, Wei Shi:
Improved Convergence Rates for Distributed Resource Allocation. CDC 2018: 172-177 - [c95]Nurullah Karakoç, Anna Scaglione, Angelia Nedic:
Multi-layer Decomposition of Optimal Resource Sharing Problems. CDC 2018: 178-183 - [c94]Shi Pu, Angelia Nedic:
A Distributed Stochastic Gradient Tracking Method. CDC 2018: 963-968 - [c93]Ji Liu, Mengbin Ye, Brian D. O. Anderson, Tamer Basar, Angelia Nedic:
Discrete-Time Polar Opinion Dynamics with Heterogeneous Individuals. CDC 2018: 1694-1699 - [c92]Hoi-To Wai, Nikolaos M. Freris, Angelia Nedic, Anna Scaglione:
SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization. CDC 2018: 1751-1756 - [c91]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
A Push-Pull Gradient Method for Distributed Optimization in Networks. CDC 2018: 3385-3390 - [c90]Tatiana Tatarenko, Wei Shi, Angelia Nedic:
Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking. CDC 2018: 3561-3566 - [c89]Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian:
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization. CDC 2018: 4097-4102 - [c88]Cesar A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic:
Distributed Computation of Wasserstein Barycenters Over Networks. CDC 2018: 6544-6549 - [c87]Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Angelia Nedic, Amir Leshem:
Data Injection Attack on Decentralized Optimization. ICASSP 2018: 3644-3648 - [c86]Pavel E. Dvurechenskii, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedich:
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. NeurIPS 2018: 10783-10793 - 2017
- [c85]Angelia Nedic, Tatiana Tatarenko:
On stochastic proximal-point method for convex-composite optimization. Allerton 2017: 198-203 - [c84]Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione:
Curvature-aided incremental aggregated gradient method. Allerton 2017: 526-532 - [c83]Ji Liu, Daniel Fullmer, Angelia Nedic, Tamer Basar, A. Stephen Morse:
A distributed algorithm for computing a common fixed point of a family of strongly quasi-nonexpansive maps. ACC 2017: 686-690 - [c82]Philip E. Pare, Ji Liu, Carolyn L. Beck, Angelia Nedic, Tamer Basar:
Multi-competitive viruses over static and time-varying networks. ACC 2017: 1685-1690 - [c81]Angelia Nedic, Alex Olshevsky, Wei Shi, Cesar A. Uribe:
Geometrically convergent distributed optimization with uncoordinated step-sizes. ACC 2017: 3950-3955 - [c80]Sadegh Bolouki, Donya Ghavidel Dobakhshari, Tamer Basar, Vijay Gupta, Angelia Nedic:
Applications of group testing to security decision-making in networks. CDC 2017: 2929-2934 - [c79]Ji Liu, Yang Liu, Angelia Nedic, Tamer Basar:
An approach to distributed parametric learning with streaming data. CDC 2017: 3206-3211 - [c78]Ji Liu, Philip E. Pare, Angelia Nedic, Carolyn L. Beck, Tamer Basar:
On a continuous-time multi-group bi-virus model with human awareness. CDC 2017: 4124-4129 - [c77]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
A smoothing stochastic quasi-newton method for non-lipschitzian stochastic optimization problems. WSC 2017: 2291-2302 - 2016
- [c76]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Distributed Gaussian learning over time-varying directed graphs. ACSSC 2016: 1710-1714 - [c75]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Network independent rates in distributed learning. ACC 2016: 1072-1077 - [c74]Seyed Rasoul Etesami, Angelia Nedic, Tamer Basar:
Generalization of accelerated successive projection method for convex sets intersection problems. ACC 2016: 4422-4427 - [c73]Ji Liu, Xudong Chen, Tamer Basar, Angelia Nedic:
A continuous-time distributed algorithm for solving linear equations. ACC 2016: 5551-5556 - [c72]Sadegh Bolouki, Angelia Nedic, Tamer Basar:
On the steady-state range of averaging dynamics. ACC 2016: 6447-6452 - [c71]Shahzad F. Bhatti, Carolyn L. Beck, Angelia Nedic:
Large scale data clustering and graph partitioning via simulated mixing. CDC 2016: 147-152 - [c70]Ji Liu, Philip E. Pare, Angelia Nedic, Choon Yik Tang, Carolyn L. Beck, Tamer Basar:
On the analysis of a continuous-time bi-virus model. CDC 2016: 290-295 - [c69]Angelia Nedich, Alex Olshevsky, Wei Shi:
A geometrically convergent method for distributed optimization over time-varying graphs. CDC 2016: 1023-1029 - [c68]Seyed Rasoul Etesami, Sadegh Bolouki, Angelia Nedic, Tamer Basar:
Conformity versus manipulation in reputation systems. CDC 2016: 4451-4456 - [c67]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
Stochastic quasi-Newton methods for non-strongly convex problems: Convergence and rate analysis. CDC 2016: 4496-4503 - [c66]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Distributed learning with infinitely many hypotheses. CDC 2016: 6321-6326 - [c65]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
A tutorial on distributed (non-Bayesian) learning: Problem, algorithms and results. CDC 2016: 6795-6801 - [c64]Ji Liu, Tamer Basar, Angelia Nedic:
Input-output stability of linear consensus processes. CDC 2016: 6978-6983 - [c63]Angelia Nedic, Alex Olshevsky, Wei Shi:
Linearly convergent decentralized consensus optimization over directed networks. GlobalSIP 2016: 485-489 - [c62]Kobi Cohen, Angelia Nedic, R. Srikant:
On projected stochastic gradient descent algorithm with weighted averaging for least squares regression. ICASSP 2016: 2314-2318 - 2015
- [c61]Angelia Nedich, Minh N. Do:
Foreword. Allerton 2015 - [c60]Angelia Nedic, Soomin Lee, Maxim Raginsky:
Decentralized online optimization with global objectives and local communication. ACC 2015: 4497-4503 - [c59]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs. ACC 2015: 5884-5889 - [c58]Aswin Kannan, Angelia Nedic, Uday V. Shanbhag:
Distributed stochastic optimization under imperfect information. CDC 2015: 400-405 - [c57]Matthew T. Hale, Angelia Nedic, Magnus Egerstedt:
Cloud-based centralized/decentralized multi-agent optimization with communication delays. CDC 2015: 700-705 - [c56]Philip E. Pare, Carolyn L. Beck, Angelia Nedic:
Stability analysis and control of virus spread over time-varying networks. CDC 2015: 3554-3559 - [c55]Ion Necoara, Angelia Nedich:
A fully distributed dual gradient method with linear convergence for large-scale separable convex problems. ECC 2015: 304-309 - [c54]Kobi Cohen, Angelia Nedic, R. Srikant:
Distributed learning algorithms for spectrum sharing in spatial random access networks. WiOpt 2015: 513-520 - 2014
- [c53]Maxim Raginsky, Angelia Nedic:
Online discrete optimization in social networks. ACC 2014: 3796-3801 - [c52]Craig Wilson, Venugopal V. Veeravalli, Angelia Nedic:
Dynamic stochastic optimization. CDC 2014: 173-178 - [c51]Chandramani Singh, Angelia Nedic, R. Srikant:
Random Block-Coordinate Gradient Projection Algorithms. CDC 2014: 185-190 - [c50]Ji Liu, A. Stephen Morse, Angelia Nedic, Tamer Basar:
Internal stability of linear consensus processes. CDC 2014: 922-927 - [c49]Ji Liu, Angelia Nedic, Tamer Basar:
Complex constrained consensus. CDC 2014: 1464-1469 - [c48]Ji Liu, A. Stephen Morse, Angelia Nedic, Tamer Basar:
Stability of a distributed algorithm for solving linear algebraic equations. CDC 2014: 3707-3712 - [c47]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems. CDC 2014: 5831-5836 - [c46]Angelia Nedic, Ji Liu:
A Lyapunov approach to discrete-time linear consensus. GlobalSIP 2014: 842-846 - [c45]Chandramani Singh, Angelia Nedic, R. Srikant:
LP-relaxation based distributed algorithms for scheduling in wireless networks. INFOCOM 2014: 1905-1913 - 2013
- [c44]Seyed Rasoul Etesami, Tamer Basar, Angelia Nedic, Behrouz Touri:
Termination time of multidimensional Hegselmann-Krause opinion dynamics. ACC 2013: 1255-1260 - [c43]Behrouz Touri, Farzad Farnoud, Angelia Nedic, Olgica Milenkovic:
A general framework for distributed vote aggregation. ACC 2013: 3827-3832 - [c42]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
A distributed adaptive steplength stochastic approximation method for monotone stochastic Nash Games. ACC 2013: 4765-4770 - [c41]Soomin Lee, Angelia Nedic:
Epoch gradient descent for smoothed hinge-loss linear SVMs. ACC 2013: 4789-4794 - [c40]Angelia Nedic, Alex Olshevsky:
Distributed optimization over time-varying directed graphs. CDC 2013: 6855-6860 - [c39]Soomin Lee, Angelia Nedic:
Gossip-based random projection algorithm for distributed optimization: Error bound. CDC 2013: 6874-6879 - [c38]Tsung-Hui Chang, Angelia Nedic, Anna Scaglione:
Distributed sparse regression by consensus-based primal-dual perturbation optimization. GlobalSIP 2013: 289-292 - [c37]Angelia Nedic, Alex Olshevsky:
Distributed optimization of strongly convex functions on directed time-varying graphs. GlobalSIP 2013: 329-332 - [c36]Soomin Lee, Angelia Nedic:
Distributed mini-batch random projection algorithms for reduced communication overhead. GlobalSIP 2013: 559-562 - [c35]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
A regularized smoothing stochastic approximation (RSSA) algorithm for stochastic variational inequality problems. WSC 2013: 933-944 - 2012
- [c34]Michael G. Rabbat, Angelia Nedic:
Convergence properties of normalized random incremental gradient algorithms for least-squares source localization. ACSCC 2012: 1417-1421 - [c33]Behrouz Touri, Tamer Basar, Angelia Nedic:
On averaging dynamics in general state spaces. CDC 2012: 62-67 - [c32]Angelia Nedic, Behrouz Touri:
Multi-dimensional Hegselmann-Krause dynamics. CDC 2012: 68-73 - [c31]Jayash Koshal, Angelia Nedic, Uday V. Shanbhag:
A gossip algorithm for aggregative games on graphs. CDC 2012: 4840-4845 - [c30]Soomin Lee, Angelia Nedic:
DrSVM: Distributed random projection algorithms for SVMs. CDC 2012: 5286-5291 - [c29]Vitaly Skachek, Olgica Milenkovic, Angelia Nedic:
Hybrid noncoherent network coding. NetCod 2012: 7-12 - 2011
- [c28]Behrouz Touri, Angelia Nedic:
Discrete-time opinion dynamics. ACSCC 2011: 1172-1176 - [c27]Angelia Nedic, Dario Bauso:
Constrained consensus for bargaining in dynamic coalitional TU games. CDC/ECC 2011: 229-234 - [c26]Behrouz Touri, Angelia Nedic:
On existence of a quadratic comparison function for random weighted averaging dynamics and its implications. CDC/ECC 2011: 3806-3811 - [c25]Behrouz Touri, Angelia Nedic:
Alternative characterization of ergodicity for doubly stochastic chains. CDC/ECC 2011: 5371-5376 - [c24]Jayash Koshal, Angelia Nedic, Uday V. Shanbhag:
Single timescale stochastic approximation for stochastic Nash games in cognitive radio systems. DSP 2011: 1-8 - [c23]Kunal Srivastava, Angelia Nedic, Dusan M. Stipanovic:
Distributed min-max optimization in networks. DSP 2011: 1-8 - [c22]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
A regularized adaptive steplength stochastic approximation scheme for monotone stochastic variational inequalities. WSC 2011: 4115-4126 - 2010
- [c21]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
Convex nondifferentiable stochastic optimization: A local randomized smoothing technique. ACC 2010: 4875-4880 - [c20]Jayash Koshal, Angelia Nedic, Uday V. Shanbhag:
Single timescale regularized stochastic approximation schemes for monotone Nash games under uncertainty. CDC 2010: 231-236 - [c19]Kunal Srivastava, Angelia Nedic, Dusan M. Stipanovic:
Distributed constrained optimization over noisy networks. CDC 2010: 1945-1950 - [c18]Behrouz Touri, Angelia Nedic:
Approximation and limiting behavior of random models. CDC 2010: 2656-2663 - [c17]Behrouz Touri, Angelia Nedic:
When infinite flow is sufficient for ergodicity. CDC 2010: 7479-7486 - [c16]Angelia Nedic:
Random projection algorithms for convex set intersection problems. CDC 2010: 7655-7660 - [c15]Behrouz Touri, Angelia Nedic, Sundhar Srinivasan Ram:
Asynchronous stochastic convex optimization over random networks: Error bounds. ITA 2010: 342-351 - 2009
- [c14]Sundhar Srinivasan Ram, Angelia Nedic, Venugopal V. Veeravalli:
Asynchronous gossip algorithms for stochastic optimization. CDC 2009: 3581-3586 - [c13]Jayash Koshal, Angelia Nedic, Uday V. Shanbhag:
Distributed multiuser optimization: Algorithms and error analysis. CDC 2009: 4372-4377 - [c12]Behrouz Touri, Angelia Nedic:
Distributed consensus over network with noisy links. FUSION 2009: 146-154 - [c11]S. Sundhar Ram, Angelia Nedic, Venugopal V. Veeravalli:
Asynchronous gossip algorithms for stochastic optimization. GAMENETS 2009: 80-81 - [c10]Sundhar Srinivasan Ram, Angelia Nedic, Venugopal V. Veeravalli:
Distributed subgradient projection algorithm for convex optimization. ICASSP 2009: 3653-3656 - [c9]Sundhar Srinivasan Ram, Venugopal V. Veeravalli, Angelia Nedic:
Distributed Non-Autonomous Power Control through Distributed Convex Optimization. INFOCOM 2009: 3001-3005 - [c8]Angelia Nedic, Vijay G. Subramanian:
Approximately optimal utility maximization. ITW 2009: 206-210 - 2008
- [c7]Daron Acemoglu, Angelia Nedic, Asuman E. Ozdaglar:
Convergence of rule-of-thumb learning rules in social networks. CDC 2008: 1714-1720 - [c6]Angelia Nedic, Alexander Olshevsky, Asuman E. Ozdaglar, John N. Tsitsiklis:
Distributed subgradient methods and quantization effects. CDC 2008: 4177-4184 - [c5]Angelia Nedic, Alexander Olshevsky, Asuman E. Ozdaglar, John N. Tsitsiklis:
On distributed averaging algorithms and quantization effects. CDC 2008: 4825-4830 - [c4]Pierre-Alexandre Bliman, Angelia Nedic, Asuman E. Ozdaglar:
Rate of Convergence for Consensus with Delays. CDC 2008: 4849-4854 - [c3]Angelia Nedic, Asuman E. Ozdaglar:
Subgradient methods in network resource allocation: Rate analysis. CISS 2008: 1189-1194 - [c2]Sundhar Srinivasan Ram, Venugopal V. Veeravalli, Angelia Nedic:
Incremental recursive prediction error algorithm for parameter estimation in sensor networks. FUSION 2008: 1-8 - 2007
- [c1]Angelia Nedic:
On the rate of convergence of distributed subgradient methods for multi-agent optimization. CDC 2007: 4711-4716
Parts in Books or Collections
- 2013
- [p1]Kunal Srivastava, Angelia Nedic, Dusan M. Stipanovic:
Distributed Bregman-Distance Algorithms for Min-Max Optimization. Agent-Based Optimization 2013: 143-174
Reference Works
- 2015
- [r1]Angelia Nedic:
Distributed Optimization. Encyclopedia of Systems and Control 2015
Informal and Other Publications
- 2024
- [i51]Kun Huang, Shi Pu, Angelia Nedic:
An Accelerated Distributed Stochastic Gradient Method with Momentum. CoRR abs/2402.09714 (2024) - [i50]Sarper Aydin, Orhan Eren Akgün, Stephanie Gil, Angelia Nedic:
Multi-Agent Resilient Consensus under Intermittent Faulty and Malicious Transmissions (Extended Version). CoRR abs/2403.17907 (2024) - 2023
- [i49]Duong Thuy Anh Nguyen, Duong Tung Nguyen, Angelia Nedich:
Geometric Convergence of Distributed Heavy-Ball Nash Equilibrium Algorithm over Time-Varying Digraphs with Unconstrained Actions. CoRR abs/2303.16385 (2023) - [i48]Duong Thuy Anh Nguyen, Jiaming Cheng, Duong Tung Nguyen, Angelia Nedich:
CrowdCache: A Decentralized Game-Theoretic Framework for Mobile Edge Content Sharing. CoRR abs/2304.13246 (2023) - [i47]Sina Arefizadeh, Angelia Nedich:
Characterization of Potential Games: Application in Aggregative Games. CoRR abs/2308.12917 (2023) - [i46]Duong Thuy Anh Nguyen, Mattia Bianchi, Florian Dörfler, Duong Tung Nguyen, Angelia Nedic:
Nash equilibrium seeking over digraphs with row-stochastic matrices and network-independent step-sizes. CoRR abs/2309.07897 (2023) - [i45]Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedic:
Projected Push-Pull For Distributed Constrained Optimization Over Time-Varying Directed Graphs (extended version). CoRR abs/2310.06223 (2023) - [i44]Stephanie Gil, Michal Yemini, Arsenia Chorti, Angelia Nedic, H. Vincent Poor, Andrea J. Goldsmith:
How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems. CoRR abs/2311.07492 (2023) - 2022
- [i43]Duong Thuy Anh Nguyen, Duong Tung Nguyen, Angelia Nedic:
Distributed Nash Equilibrium Seeking over Time-Varying Directed Communication Networks. CoRR abs/2201.02323 (2022) - [i42]Yongqiang Wang, Angelia Nedic:
Tailoring Gradient Methods for Differentially-Private Distributed Optimization. CoRR abs/2202.01113 (2022) - [i41]Yongqiang Wang, Angelia Nedich:
Differentially-private Distributed Algorithms for Aggregative Games with Guaranteed Convergence. CoRR abs/2209.01486 (2022) - [i40]Michal Yemini, Angelia Nedic, Andrea J. Goldsmith, Stephanie Gil:
Resilient Distributed Optimization for Multi-Agent Cyberphysical Systems. CoRR abs/2212.02459 (2022) - [i39]Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedic:
Learning Trust Over Directed Graphs in Multiagent Systems (extended version). CoRR abs/2212.02661 (2022) - 2021
- [i38]Michal Yemini, Angelia Nedic, Andrea Goldsmith, Stephanie Gil:
Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems. CoRR abs/2103.05464 (2021) - 2020
- [i37]Parth Thaker, Gautam Dasarathy, Angelia Nedic:
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems. CoRR abs/2002.01066 (2020) - [i36]Eli Chien, Olgica Milenkovic, Angelia Nedich:
Support Estimation with Sampling Artifacts and Errors. CoRR abs/2006.07999 (2020) - [i35]Wicak Ananduta, Carlos Ocampo-Martinez, Angelia Nedic:
Accelerated Multi-Agent Optimization Method over Stochastic Networks. CoRR abs/2009.03775 (2020) - [i34]Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan:
A general framework for decentralized optimization with first-order methods. CoRR abs/2009.05837 (2020) - 2018
- [i33]César A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic:
Distributed Computation of Wasserstein Barycenters over Networks. CoRR abs/1803.02933 (2018) - [i32]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich:
A Push-Pull Gradient Method for Distributed Optimization in Networks. CoRR abs/1803.07588 (2018) - [i31]Shi Pu, Angelia Nedic:
A Distributed Stochastic Gradient Tracking Method. CoRR abs/1803.07741 (2018) - [i30]Shi Pu, Angelia Nedic:
Distributed Stochastic Gradient Tracking Methods. CoRR abs/1805.11454 (2018) - [i29]Pavel E. Dvurechensky, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedic:
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. CoRR abs/1806.03915 (2018) - [i28]César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. CoRR abs/1809.00710 (2018) - [i27]Angelia Nedic, Alex Olshevsky, César A. Uribe:
Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints. CoRR abs/1810.02456 (2018) - [i26]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
Push-Pull Gradient Methods for Distributed Optimization in Networks. CoRR abs/1810.06653 (2018) - 2017
- [i25]Angelia Nedic, Alex Olshevsky, César A. Uribe:
Distributed Learning for Cooperative Inference. CoRR abs/1704.02718 (2017) - [i24]Angelia Nedic, Alex Olshevsky, Wei Shi:
Improved Convergence Rates for Distributed Resource Allocation. CoRR abs/1706.05441 (2017) - [i23]Ji Liu, Mengbin Ye, Brian D. O. Anderson, Tamer Basar, Angelia Nedic:
Discrete-Time Polar Opinion Dynamics with Susceptibility. CoRR abs/1709.07121 (2017) - [i22]Angelia Nedic, Alex Olshevsky, Michael G. Rabbat:
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization. CoRR abs/1709.08765 (2017) - [i21]Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione:
Curvature-aided Incremental Aggregated Gradient Method. CoRR abs/1710.08936 (2017) - [i20]César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
Optimal Algorithms for Distributed Optimization. CoRR abs/1712.00232 (2017) - 2016
- [i19]Shahzad F. Bhatti, Carolyn L. Beck, Angelia Nedic:
Data Clustering and Graph Partitioning via Simulated Mixing. CoRR abs/1603.04918 (2016) - [i18]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Distributed Learning with Infinitely Many Hypotheses. CoRR abs/1605.02105 (2016) - [i17]Kobi Cohen, Angelia Nedic, R. Srikant:
On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. CoRR abs/1606.03000 (2016) - [i16]Angelia Nedic, Alex Olshevsky, Wei Shi, Cesar A. Uribe:
Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes. CoRR abs/1609.05877 (2016) - [i15]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
A Tutorial on Distributed (Non-Bayesian) Learning: Problem, Algorithms and Results. CoRR abs/1609.07537 (2016) - [i14]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Distributed Gaussian Learning over Time-varying Directed Graphs. CoRR abs/1612.01600 (2016) - 2015
- [i13]Kobi Cohen, Angelia Nedic, R. Srikant:
Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. CoRR abs/1507.05664 (2015) - [i12]Soomin Lee, Angelia Nedic, Maxim Raginsky:
Decentralized Online Optimization with Global Objectives and Local Communication. CoRR abs/1508.07933 (2015) - 2014
- [i11]Angelia Nedic, Alex Olshevsky:
Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs. CoRR abs/1406.2075 (2014) - 2013
- [i10]Angelia Nedic, Alexander Olshevsky:
Distributed optimization over time-varying directed graphs. CoRR abs/1303.2289 (2013) - [i9]Soomin Lee, Angelia Nedic:
Asynchronous Gossip-Based Random Projection Algorithms Over Networks. CoRR abs/1304.1757 (2013) - [i8]Tsung-Hui Chang, Angelia Nedic, Anna Scaglione:
Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method. CoRR abs/1304.5590 (2013) - [i7]Maxim Raginsky, Angelia Nedic:
Online discrete optimization in social networks in the presence of Knightian uncertainty. CoRR abs/1307.0473 (2013) - [i6]Angelia Nedic, Soomin Lee:
On Stochastic Subgradient Mirror-Descent Algorithm with Weighted Averaging. CoRR abs/1307.1879 (2013) - 2012
- [i5]Soomin Lee, Angelia Nedich:
Distributed Random Projection Algorithm for Convex Optimization. CoRR abs/1211.5611 (2012) - [i4]Behrouz Touri, Farzad Farnoud, Angelia Nedic, Olgica Milenkovic:
A General Framework for Distributed Vote Aggregation. CoRR abs/1212.2607 (2012) - 2011
- [i3]Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag:
On Stochastic Gradient and Subgradient Methods with Adaptive Steplength Sequences. CoRR abs/1105.4549 (2011) - [i2]Vitaly Skachek, Olgica Milenkovic, Angelia Nedic:
Hybrid Noncoherent Network Coding. CoRR abs/1107.4581 (2011) - 2008
- [i1]S. Sundhar Ram, Venugopal V. Veeravalli, Angelia Nedic:
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models. CoRR abs/0804.1607 (2008)
Coauthor Index
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