Antonious M. Girgis

34 papers A* 3A 1B 7Misc 1Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Personalized Heterogeneous Mean Estimation Under User-Level LDP. ISIT Ruida Zhou, Antonious M. Girgis, Suhas N. Diggavi
2024	J	`jnl`	Differentially Private Stochastic Linear Bandits: (Almost) for Free. IEEE J. Sel. Areas Inf. Theory Osama A. Hanna, Antonious M. Girgis, Christina Fragouli, Suhas N. Diggavi
2024	J	`jnl`	Learning from straggler clients in federated learning. CoRR Andrew Hard, Antonious M. Girgis, Ehsan Amid, Sean Augenstein, Lara McConnaughey, Rajiv Mathews, Rohan Anil
2024	J	`jnl`	Multi-Message Shuffled Privacy in Federated Learning. IEEE J. Sel. Areas Inf. Theory Antonious M. Girgis, Suhas N. Diggavi
2023	A*	`conf`	A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy. ICLR Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2023	—	`—`	Communication-Efficient and Private Distributed Learning Antonious M. Girgis
2023	J	`jnl`	Fundamental Limits of Cache-Aided MIMO Wireless Networks. IEEE Trans. Inf. Theory Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt
2023	J	`jnl`	Multi-Message Shuffled Privacy in Federated Learning. CoRR Antonious M. Girgis, Suhas N. Diggavi
2022	J	`jnl`	A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy. CoRR Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2022	J	`jnl`	Differentially Private Stochastic Linear Bandits: (Almost) for Free. CoRR Osama A. Hanna, Antonious M. Girgis, Christina Fragouli, Suhas N. Diggavi
2022	B	`conf`	Distributed User-Level Private Mean Estimation. ISIT Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
2021	B	`conf`	Differentially Private Federated Learning with Shuffling and Client Self-Sampling. ISIT Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2021	J	`jnl`	On the Renyi Differential Privacy of the Shuffle Model. CoRR Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz
2021	A*	`conf`	On the Rényi Differential Privacy of the Shuffle Model. CCS Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz
2021	A*	`conf`	Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning. NeurIPS Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2021	J	`jnl`	Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning. CoRR Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2021	A	`conf`	Shuffled Model of Differential Privacy in Federated Learning. AISTATS Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh
2021	J	`jnl`	Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs. IEEE J. Sel. Areas Inf. Theory Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh
2020	B	`conf`	Hiding Identities: Estimation Under Local Differential Privacy. ISIT Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2020	J	`jnl`	Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs. CoRR Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh
2020	J	`jnl`	Successive Refinement of Privacy. CoRR Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas N. Diggavi
2020	J	`jnl`	Successive Refinement of Privacy. IEEE J. Sel. Areas Inf. Theory Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas N. Diggavi
2019	B	`conf`	Coded Caching and Spatial Multiplexing Gains in MIMO Interference Networks. WCNC Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt
2019	J	`jnl`	Fundamental Limits of Memory-Latency Tradeoff in Fog Radio Access Networks Under Arbitrary Demands. IEEE Trans. Wirel. Commun. Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt
2018	Misc	`conf`	A Converse Bound for Cache-Aided Interference Networks. ACSSC Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt
2018	J	`jnl`	A Converse Bound for Cache-Aided Interference Networks. CoRR Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt
2017	J	`jnl`	Decentralized Coded Caching in Wireless Networks: Trade-off between Storage and Latency. CoRR Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt
2017	B	`conf`	Decentralized coded caching in wireless networks: Trade-off between storage and latency. ISIT Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt
2017	J	`jnl`	Degrees of Freedom of Interference Networks with Transmitter-Side Caches. CoRR Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt
2016	J	`jnl`	Optimal Energy Allocation For Delay-Constrained Traffic Over Fading Multiple Access Channels. CoRR Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie
2016	B	`conf`	Optimal Energy Allocation for Delay-Constrained Traffic over Fading Multiple Access Channels. GLOBECOM Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie
2016	J	`jnl`	Proactive Location-Based Scheduling of Delay-Constrained Traffic Over Fading Channels. CoRR Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie, Ramy H. Gohary
2016	—	`conf`	Proactive Location-Based Scheduling of Delay-Constrained Traffic over Fading Channels. VTC Fall Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie, Ramy H. Gohary