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ORCIDAntonious M. Girgis
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2020 – today
- 2024
[j6]Antonious M. Girgis
, Suhas N. Diggavi:
Multi-Message Shuffled Privacy in Federated Learning. IEEE J. Sel. Areas Inf. Theory 5: 12-27 (2024)- [j5]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) - [i14]Andrew Hard, Antonious M. Girgis, Ehsan Amid, Sean Augenstein, Lara McConnaughey, Rajiv Mathews, Rohan Anil:
Learning from straggler clients in federated learning. CoRR abs/2403.09086 (2024) - 2023
- [b1]Antonious M. Girgis:
Communication-Efficient and Private Distributed Learning. University of California, Los Angeles, USA, 2023 - [j4]Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
Fundamental Limits of Cache-Aided MIMO Wireless Networks. IEEE Trans. Inf. Theory 69(6): 3439-3459 (2023) - [c12]Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy. ICLR 2023 - [i13]Antonious M. Girgis, Suhas N. Diggavi:
Multi-Message Shuffled Privacy in Federated Learning. CoRR abs/2302.11152 (2023) - 2022
- [c11]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Distributed User-Level Private Mean Estimation. ISIT 2022: 2196-2201 - [i12]Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy. CoRR abs/2207.01771 (2022) - [i11]Osama A. Hanna, Antonious M. Girgis, Christina Fragouli, Suhas N. Diggavi:
Differentially Private Stochastic Linear Bandits: (Almost) for Free. CoRR abs/2207.03445 (2022) - 2021
- [j3]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh:
Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs. IEEE J. Sel. Areas Inf. Theory 2(1): 464-478 (2021) - [c10]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh:
Shuffled Model of Differential Privacy in Federated Learning. AISTATS 2021: 2521-2529 - [c9]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz:
On the Rényi Differential Privacy of the Shuffle Model. CCS 2021: 2321-2341 - [c8]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Differentially Private Federated Learning with Shuffling and Client Self-Sampling. ISIT 2021: 338-343 - [c7]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning. NeurIPS 2021: 29181-29192 - [i10]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz:
On the Renyi Differential Privacy of the Shuffle Model. CoRR abs/2105.05180 (2021) - [i9]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:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i8]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning. CoRR abs/2107.08763 (2021) - 2020
- [j2]Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas N. Diggavi:
Successive Refinement of Privacy. IEEE J. Sel. Areas Inf. Theory 1(3): 745-759 (2020) - [c6]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Hiding Identities: Estimation Under Local Differential Privacy. ISIT 2020: 914-919 - [i7]Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas N. Diggavi:
Successive Refinement of Privacy. CoRR abs/2005.11651 (2020) - [i6]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh:
Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs. CoRR abs/2008.07180 (2020)
2010 – 2019
- 2019
- [j1]Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
Fundamental Limits of Memory-Latency Tradeoff in Fog Radio Access Networks Under Arbitrary Demands. IEEE Trans. Wirel. Commun. 18(8): 3871-3886 (2019) - [c5]Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
Coded Caching and Spatial Multiplexing Gains in MIMO Interference Networks. WCNC 2019: 1-6 - 2018
- [c4]Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
A Converse Bound for Cache-Aided Interference Networks. ACSSC 2018: 177-181 - [i5]Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
A Converse Bound for Cache-Aided Interference Networks. CoRR abs/1812.02388 (2018) - 2017
- [c3]Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
Decentralized coded caching in wireless networks: Trade-off between storage and latency. ISIT 2017: 2443-2447 - [i4]Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
Decentralized Coded Caching in Wireless Networks: Trade-off between Storage and Latency. CoRR abs/1701.06673 (2017) - [i3]Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
Degrees of Freedom of Interference Networks with Transmitter-Side Caches. CoRR abs/1712.05957 (2017) - 2016
- [c2]Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie:
Optimal Energy Allocation for Delay-Constrained Traffic over Fading Multiple Access Channels. GLOBECOM 2016: 1-6 - [c1]Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie, Ramy H. Gohary:
Proactive Location-Based Scheduling of Delay-Constrained Traffic over Fading Channels. VTC Fall 2016: 1-6 - [i2]Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie, Ramy H. Gohary:
Proactive Location-Based Scheduling of Delay-Constrained Traffic Over Fading Channels. CoRR abs/1607.00329 (2016) - [i1]Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie:
Optimal Energy Allocation For Delay-Constrained Traffic Over Fading Multiple Access Channels. CoRR abs/1607.00711 (2016)
Coauthor Index
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