papers
Publications (15)
cs.LG2024
Learning from straggler clients in federated learning
Andrew Hard, Antonious M. Girgis, Ehsan Amid +4
cs.LG2022
Differentially Private Stochastic Linear Bandits: (Almost) for Free
Osama A. Hanna, Antonious M. Girgis, Christina Fragouli +1
cs.IT2017
Degrees of Freedom of Interference Networks with Transmitter-Side Caches
Antonious M. Girgis, Ozgur Ercetin, Mohammed Nafie +1
cs.LG2021
A Field Guide to Federated Optimization
Jianyu Wang, Zachary Charles, Zheng Xu +50
cs.IT2017
Decentralized Coded Caching in Wireless Networks: Trade-off between Storage and Latency
Antonious M. Girgis, Ozgur Ercetin, Mohammed Nafie +1
cs.IT2018
A Converse Bound for Cache-Aided Interference Networks
Antonious M. Girgis, Ozgur Ercetin, Mohammed Nafie +1
cs.LG2020
Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs
Antonious M. Girgis, Deepesh Data, Suhas Diggavi +2
cs.IT2016
Optimal Energy Allocation For Delay-Constrained Traffic Over Fading Multiple Access Channels
Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie
cs.CL2026
Gemma 4 Technical Report
Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320
cs.CR2021
On the Renyi Differential Privacy of the Shuffle Model
Antonious M. Girgis, Deepesh Data, Suhas Diggavi +2
cs.LG2023
Multi-Message Shuffled Privacy in Federated Learning
Antonious M. Girgis, Suhas Diggavi
cs.LG2021
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning
Antonious M. Girgis, Deepesh Data, Suhas Diggavi
cs.IT2016
Proactive Location-Based Scheduling of Delay-Constrained Traffic Over Fading Channels
Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie +1
cs.LG2022
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
Kaan Ozkara, Antonious M. Girgis, Deepesh Data +1
cs.CR2020
Successive Refinement of Privacy
Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri +2