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IEEE Journal on Selected Areas in Information Theory, Volume 5
Volume 5, 2024
- Venugopal V. Veeravalli
, Georgios Fellouris
, George V. Moustakides
:
Quickest Change Detection With Controlled Sensing. 1-11 - Antonious M. Girgis
, Suhas N. Diggavi
:
Multi-Message Shuffled Privacy in Federated Learning. 12-27 - Anand Jerry George, Lekshmi Ramesh, Aditya Vikram Singh
, Himanshu Tyagi
:
Continual Mean Estimation Under User-Level Privacy. 28-43 - Matteo Zecchin
, Sangwoo Park
, Osvaldo Simeone
:
Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control. 44-61 - Chen Xu
, Jonghyeok Lee, Xiuyuan Cheng
, Yao Xie
:
Flow-Based Distributionally Robust Optimization. 62-77 - Zirui Yan
, Arpan Mukherjee
, Burak Varici, Ali Tajer
:
Robust Causal Bandits for Linear Models. 78-93 - Ruida Zhou
, Chao Tian
, Tie Liu
:
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem. 94-104 - Alireza Sadeghi
, Gang Wang
, Georgios B. Giannakis
:
Learning Robust to Distributional Uncertainties and Adversarial Data. 105-122 - Hyun-Young Park
, Seung-Hyun Nam
, Si-Hyeon Lee
:
Exactly Optimal and Communication-Efficient Private Estimation via Block Designs. 123-134 - Osama A. Hanna
, Antonious M. Girgis
, Christina Fragouli
, Suhas N. Diggavi
:
Differentially Private Stochastic Linear Bandits: (Almost) for Free. 135-147 - Neophytos Charalambides
, Hessam Mahdavifar
, Mert Pilanci
, Alfred O. Hero III
:
Iterative Sketching for Secure Coded Regression. 148-161 - Sahel Torkamani, Javad B. Ebrahimi
, Parastoo Sadeghi
, Rafael G. L. D'Oliveira
, Muriel Médard
:
Optimal Binary Differential Privacy via Graphs. 162-174 - Xinying Zou
, Samir M. Perlaza
, Iñaki Esnaola
, Eitan Altman
, H. Vincent Poor
:
The Worst-Case Data-Generating Probability Measure in Statistical Learning. 175-189 - Songtao Feng
, Ming Yin, Ruiquan Huang, Yu-Xiang Wang
, Jing Yang
, Yingbin Liang
:
Toward General Function Approximation in Nonstationary Reinforcement Learning. 190-206 - Elena Ghazi
, Ibrahim Issa
:
Total Variation Meets Differential Privacy. 207-220 - Daria Reshetova
, Wei-Ning Chen
, Ayfer Özgür
:
Training Generative Models From Privatized Data via Entropic Optimal Transport. 221-235 - Sundara Rajan Srinivasavaradhan
, Pavlos Nikolopoulos
, Christina Fragouli
, Suhas N. Diggavi
:
Improving Group Testing via Gradient Descent. 236-245 - Ezgi Özyilkan
, Johannes Ballé
, Elza Erkip
:
Neural Distributed Compressor Discovers Binning. 246-260 - Mark Beliaev
, Payam Delgosha
, Hamed Hassani
, Ramtin Pedarsani
:
Efficient and Robust Classification for Sparse Attacks. 261-272 - Gholamali Aminian
, Mohammad Saeed Masiha
, Laura Toni
, Miguel R. D. Rodrigues
:
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. 273-284 - Baturalp Buyukates
, Jinhyun So
, Hessam Mahdavifar
, Salman Avestimehr:
LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning. 285-301 - Banghua Zhu
, Ziao Wang
, Nadim Ghaddar
, Jiantao Jiao
, Lele Wang
:
Noisy Computing of the OR and MAX Functions. 302-313 - Giuseppe Serra
, Photios A. Stavrou
, Marios Kountouris
:
On the Computation of the Gaussian Rate-Distortion-Perception Function. 314-330 - Mohamed Seif
, Yanxi Chen
, Andrea J. Goldsmith
, H. Vincent Poor
:
Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming. 331-346 - Zinan Lin, Shuaiqi Wang
, Vyas Sekar, Giulia Fanti
:
Summary Statistic Privacy in Data Sharing. 369-384 - Ruizhi Zhang
:
Detection of Sparse Mixtures With Differential Privacy. 347-356 - Faisal Hamman
, Erfaun Noorani, Saumitra Mishra
, Daniele Magazzeni, Sanghamitra Dutta
:
Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees. 357-368 - Shahab Asoodeh
, Huanyu Zhang
:
Contraction of Locally Differentially Private Mechanisms. 385-395 - Yauhen Yakimenka, Chung-Wei Weng, Hsuan-Yin Lin
, Eirik Rosnes
, Jörg Kliewer
:
Straggler-Resilient Differentially Private Decentralized Learning. 407-423 - Xinyi Tong
, Jian Xu
, Shao-Lun Huang
:
On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics. 396-406 - Bhagyashree Puranik
, Ozgur Guldogan
, Upamanyu Madhow, Ramtin Pedarsani
:
Long-Term Fairness in Sequential Multi-Agent Selection With Positive Reinforcement. 424-441 - Shahrzad Kiani
, Franziska Boenisch
, Stark C. Draper
:
Controlled Privacy Leakage Propagation Throughout Overlapping Grouped Learning. 442-463 - Hassan ZivariFard
, Rémi A. Chou
:
Secure Source Coding Resilient Against Compromised Users via an Access Structure. 478-492 - Jay Whang
, Alliot Nagle
, Anish Acharya
, Hyeji Kim, Alexandros G. Dimakis
:
Neural Distributed Source Coding. 493-508 - Ariel K. Feldman
, Praveen Venkatesh
, Douglas J. Weber
, Pulkit Grover
:
Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience. 509-519 - Yanyan Dong
, Shenghao Yang
, Jie Wang
, Fan Cheng
:
Throughput and Latency Analysis for Line Networks With Outage Links. 464-477 - Ahmed H. Salamah
, Kaixiang Zheng
, Linfeng Ye
, En-Hui Yang
:
JPEG Compliant Compression for DNN Vision. 520-533 - Monica Welfert
, Gowtham R. Kurri
, Kyle Otstot, Lalitha Sankar
:
Addressing GAN Training Instabilities via Tunable Classification Losses. 534-553 - Elad Domanovitz
, Anatoly Khina
, Tal Philosof, Yuval Kochman
:
Information Velocity of Cascaded Gaussian Channels With Feedback. 554-569
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