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Publication search results
found 338 matches
- 2024
- Gholamali Aminian, Mohammad Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues:
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. IEEE J. Sel. Areas Inf. Theory 5: 273-284 (2024) - Shahab Asoodeh, Huanyu Zhang:
Contraction of Locally Differentially Private Mechanisms. IEEE J. Sel. Areas Inf. Theory 5: 385-395 (2024) - Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. IEEE J. Sel. Areas Inf. Theory 5: 261-272 (2024) - Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr:
LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning. IEEE J. Sel. Areas Inf. Theory 5: 285-301 (2024) - Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr:
Erratum to "LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning". IEEE J. Sel. Areas Inf. Theory 5: 570-571 (2024) - Neophytos Charalambides, Hessam Mahdavifar, Mert Pilanci, Alfred O. Hero III:
Iterative Sketching for Secure Coded Regression. IEEE J. Sel. Areas Inf. Theory 5: 148-161 (2024) - Elad Domanovitz, Anatoly Khina, Tal Philosof, Yuval Kochman:
Information Velocity of Cascaded Gaussian Channels With Feedback. IEEE J. Sel. Areas Inf. Theory 5: 554-569 (2024) - Yanyan Dong, Shenghao Yang, Jie Wang, Fan Cheng:
Throughput and Latency Analysis for Line Networks With Outage Links. IEEE J. Sel. Areas Inf. Theory 5: 464-477 (2024) - Ariel K. Feldman, Praveen Venkatesh, Douglas J. Weber, Pulkit Grover:
Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience. IEEE J. Sel. Areas Inf. Theory 5: 509-519 (2024) - Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang:
Toward General Function Approximation in Nonstationary Reinforcement Learning. IEEE J. Sel. Areas Inf. Theory 5: 190-206 (2024) - Anand Jerry George, Lekshmi Ramesh, Aditya Vikram Singh, Himanshu Tyagi:
Continual Mean Estimation Under User-Level Privacy. IEEE J. Sel. Areas Inf. Theory 5: 28-43 (2024) - Nadim Ghaddar, Lele Wang:
Low-Complexity Coding Techniques for Cloud Radio Access Networks. IEEE J. Sel. Areas Inf. Theory 5: 572-584 (2024) - Elena Ghazi, Ibrahim Issa:
Total Variation Meets Differential Privacy. IEEE J. Sel. Areas Inf. Theory 5: 207-220 (2024) - Antonious M. Girgis, Suhas N. Diggavi:
Multi-Message Shuffled Privacy in Federated Learning. IEEE J. Sel. Areas Inf. Theory 5: 12-27 (2024) - Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta:
Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees. IEEE J. Sel. Areas Inf. Theory 5: 357-368 (2024) - Osama A. Hanna, Antonious M. Girgis, Christina Fragouli, Suhas N. Diggavi:
Differentially Private Stochastic Linear Bandits: (Almost) for Free. IEEE J. Sel. Areas Inf. Theory 5: 135-147 (2024) - Shahrzad Kiani, Franziska Boenisch, Stark C. Draper:
Controlled Privacy Leakage Propagation Throughout Overlapping Grouped Learning. IEEE J. Sel. Areas Inf. Theory 5: 442-463 (2024) - Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti:
Summary Statistic Privacy in Data Sharing. IEEE J. Sel. Areas Inf. Theory 5: 369-384 (2024) - Ezgi Özyilkan, Johannes Ballé, Elza Erkip:
Neural Distributed Compressor Discovers Binning. IEEE J. Sel. Areas Inf. Theory 5: 246-260 (2024) - Hyun-Young Park, Seung-Hyun Nam, Si-Hyeon Lee:
Exactly Optimal and Communication-Efficient Private Estimation via Block Designs. IEEE J. Sel. Areas Inf. Theory 5: 123-134 (2024) - Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow, Ramtin Pedarsani:
Long-Term Fairness in Sequential Multi-Agent Selection With Positive Reinforcement. IEEE J. Sel. Areas Inf. Theory 5: 424-441 (2024) - Daria Reshetova, Wei-Ning Chen, Ayfer Özgür:
Training Generative Models From Privatized Data via Entropic Optimal Transport. IEEE J. Sel. Areas Inf. Theory 5: 221-235 (2024) - Alireza Sadeghi, Gang Wang, Georgios B. Giannakis:
Learning Robust to Distributional Uncertainties and Adversarial Data. IEEE J. Sel. Areas Inf. Theory 5: 105-122 (2024) - Ahmed H. Salamah, Kaixiang Zheng, Linfeng Ye, En-Hui Yang:
JPEG Compliant Compression for DNN Vision. IEEE J. Sel. Areas Inf. Theory 5: 520-533 (2024) - Mohamed Seif, Yanxi Chen, Andrea J. Goldsmith, H. Vincent Poor:
Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming. IEEE J. Sel. Areas Inf. Theory 5: 331-346 (2024) - Giuseppe Serra, Photios A. Stavrou, Marios Kountouris:
On the Computation of the Gaussian Rate-Distortion-Perception Function. IEEE J. Sel. Areas Inf. Theory 5: 314-330 (2024) - Sundara Rajan Srinivasavaradhan, Pavlos Nikolopoulos, Christina Fragouli, Suhas N. Diggavi:
Improving Group Testing via Gradient Descent. IEEE J. Sel. Areas Inf. Theory 5: 236-245 (2024) - Xinyi Tong, Jian Xu, Shao-Lun Huang:
On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics. IEEE J. Sel. Areas Inf. Theory 5: 396-406 (2024) - Sahel Torkamani, Javad B. Ebrahimi, Parastoo Sadeghi, Rafael G. L. D'Oliveira, Muriel Médard:
Optimal Binary Differential Privacy via Graphs. IEEE J. Sel. Areas Inf. Theory 5: 162-174 (2024) - Venugopal V. Veeravalli, Georgios Fellouris, George V. Moustakides:
Quickest Change Detection With Controlled Sensing. IEEE J. Sel. Areas Inf. Theory 5: 1-11 (2024)
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