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Antonious M. Girgis https://orcid.org/0000-0001-9828-6534

Antonious M. Girgis Suhas N. Diggavi Multi-Message Shuffled Privacy in Federated Learning. 12-27 2024 5 IEEE J. Sel. Areas Inf. Theory https://doi.org/10.1109/JSAIT.2024.3366225 db/journals/jsait/jsait5.html#GirgisD24

Osama A. Hanna Antonious M. Girgis Christina Fragouli Suhas N. Diggavi Differentially Private Stochastic Linear Bandits: (Almost) for Free. 135-147 2024 5 IEEE J. Sel. Areas Inf. Theory https://doi.org/10.1109/JSAIT.2024.3389954 db/journals/jsait/jsait5.html#HannaGFD24

Andrew Hard Antonious M. Girgis Ehsan Amid Sean Augenstein Lara McConnaughey Rajiv Mathews Rohan Anil Learning from straggler clients in federated learning. 2024 abs/2403.09086 CoRR https://doi.org/10.48550/arXiv.2403.09086 db/journals/corr/corr2403.html#abs-2403-09086

Antonious M. Girgis Communication-Efficient and Private Distributed Learning University of California, Los Angeles, USA 2023 https://www.escholarship.org/uc/item/4j97d1b1 https://www.escholarship.org/content/qt4j97d1b1/qt4j97d1b1.pdf

Antonious M. Girgis Özgür Erçetin Mohammed Nafie Tamer A. ElBatt Fundamental Limits of Cache-Aided MIMO Wireless Networks. 3439-3459 2023 June 69 IEEE Trans. Inf. Theory 6 https://doi.org/10.1109/TIT.2023.3242607 db/journals/tit/tit69.html#GirgisENE23

Kaan Ozkara Antonious M. Girgis Deepesh Data Suhas N. Diggavi A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy. 2023 ICLR https://openreview.net/forum?id=FUiDMCr_W4o conf/iclr/2023 db/conf/iclr/iclr2023.html#OzkaraGDD23

Antonious M. Girgis Suhas N. Diggavi Multi-Message Shuffled Privacy in Federated Learning. 2023 abs/2302.11152 CoRR https://doi.org/10.48550/arXiv.2302.11152 db/journals/corr/corr2302.html#abs-2302-11152

Antonious M. Girgis Deepesh Data Suhas N. Diggavi Distributed User-Level Private Mean Estimation. 2196-2201 2022 ISIT https://doi.org/10.1109/ISIT50566.2022.9834713 conf/isit/2022 db/conf/isit/isit2022.html#GirgisDD22

Kaan Ozkara Antonious M. Girgis Deepesh Data Suhas N. Diggavi A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy. 2022 abs/2207.01771 CoRR https://doi.org/10.48550/arXiv.2207.01771 db/journals/corr/corr2207.html#abs-2207-01771

Osama A. Hanna Antonious M. Girgis Christina Fragouli Suhas N. Diggavi Differentially Private Stochastic Linear Bandits: (Almost) for Free. 2022 abs/2207.03445 CoRR https://doi.org/10.48550/arXiv.2207.03445 db/journals/corr/corr2207.html#abs-2207-03445

Antonious M. Girgis Deepesh Data Suhas N. Diggavi Peter Kairouz Ananda Theertha Suresh Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs. 464-478 2021 2 IEEE J. Sel. Areas Inf. Theory 1 https://doi.org/10.1109/JSAIT.2021.3056102 db/journals/jsait/jsait2.html#GirgisDDKS21

Antonious M. Girgis Deepesh Data Suhas N. Diggavi Peter Kairouz Ananda Theertha Suresh Shuffled Model of Differential Privacy in Federated Learning. 2521-2529 2021 AISTATS http://proceedings.mlr.press/v130/girgis21a.html conf/aistats/2021 db/conf/aistats/aistats2021.html#GirgisDDKS21 Antonious M. Girgis Deepesh Data Suhas N. Diggavi Ananda Theertha Suresh Peter Kairouz On the Rényi Differential Privacy of the Shuffle Model. 2321-2341 2021 CCS https://doi.org/10.1145/3460120.3484794 conf/ccs/2021 db/conf/ccs/ccs2021.html#GirgisDDSK21 Antonious M. Girgis Deepesh Data Suhas N. Diggavi Differentially Private Federated Learning with Shuffling and Client Self-Sampling. 338-343 2021 ISIT https://doi.org/10.1109/ISIT45174.2021.9517906 conf/isit/2021 db/conf/isit/isit2021.html#GirgisDD21 Antonious M. Girgis Deepesh Data Suhas N. Diggavi Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning. 29181-29192 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/f44ec26e2ac3f1ab8c2472d4b1c2ea86-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#GirgisDD21

Antonious M. Girgis Deepesh Data Suhas N. Diggavi Ananda Theertha Suresh Peter Kairouz On the Renyi Differential Privacy of the Shuffle Model. 2021 abs/2105.05180 CoRR https://arxiv.org/abs/2105.05180 db/journals/corr/corr2105.html#abs-2105-05180

Jianyu Wang Zachary Charles Zheng Xu 0002 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 0001 Samuel Horváth Zhouyuan Huo Alex Ingerman Martin Jaggi Tara Javidi Peter Kairouz Satyen Kale Sai Praneeth Karimireddy Jakub Konecný Sanmi Koyejo Tian Li 0005 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 0001 Blake E. Woodworth Shanshan Wu Felix X. Yu Honglin Yuan 0002 Manzil Zaheer Mi Zhang 0002 Tong Zhang 0001 Chunxiang Zheng Chen Zhu 0001 Wennan Zhu A Field Guide to Federated Optimization. 2021 abs/2107.06917 CoRR https://arxiv.org/abs/2107.06917 db/journals/corr/corr2107.html#abs-2107-06917

Antonious M. Girgis Deepesh Data Suhas N. Diggavi Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning. 2021 abs/2107.08763 CoRR https://arxiv.org/abs/2107.08763 db/journals/corr/corr2107.html#abs-2107-08763

Antonious M. Girgis Deepesh Data Kamalika Chaudhuri Christina Fragouli Suhas N. Diggavi Successive Refinement of Privacy. 745-759 2020 1 IEEE J. Sel. Areas Inf. Theory 3 https://doi.org/10.1109/jsait.2020.3040403 db/journals/jsait/jsait1.html#GirgisDCFD20

Antonious M. Girgis Deepesh Data Suhas N. Diggavi Hiding Identities: Estimation Under Local Differential Privacy. 914-919 2020 ISIT https://doi.org/10.1109/ISIT44484.2020.9174332 conf/isit/2020 db/conf/isit/isit2020.html#GirgisDD20

Antonious M. Girgis Deepesh Data Kamalika Chaudhuri Christina Fragouli Suhas N. Diggavi Successive Refinement of Privacy. 2020 abs/2005.11651 CoRR https://arxiv.org/abs/2005.11651 db/journals/corr/corr2005.html#abs-2005-11651

Antonious M. Girgis Deepesh Data Suhas N. Diggavi Peter Kairouz Ananda Theertha Suresh Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs. 2020 abs/2008.07180 CoRR https://arxiv.org/abs/2008.07180 db/journals/corr/corr2008.html#abs-2008-07180

Antonious M. Girgis Özgür Erçetin Mohammed Nafie Tamer A. ElBatt Fundamental Limits of Memory-Latency Tradeoff in Fog Radio Access Networks Under Arbitrary Demands. 3871-3886 2019 18 IEEE Trans. Wirel. Commun. 8 https://doi.org/10.1109/TWC.2019.2919028 db/journals/twc/twc18.html#GirgisENE19

Antonious M. Girgis Özgür Erçetin Mohammed Nafie Tamer A. ElBatt Coded Caching and Spatial Multiplexing Gains in MIMO Interference Networks. 1-6 2019 WCNC https://doi.org/10.1109/WCNC.2019.8885766 conf/wcnc/2019 db/conf/wcnc/wcnc2019.html#GirgisENE19 Antonious M. Girgis Özgür Erçetin Mohammed Nafie Tamer A. ElBatt A Converse Bound for Cache-Aided Interference Networks. 177-181 2018 ACSSC https://doi.org/10.1109/ACSSC.2018.8645486 conf/acssc/2018 db/conf/acssc/acssc2018.html#GirgisENE18

Antonious M. Girgis Özgür Erçetin Mohammed Nafie Tamer A. ElBatt A Converse Bound for Cache-Aided Interference Networks. 2018 abs/1812.02388 CoRR http://arxiv.org/abs/1812.02388 db/journals/corr/corr1812.html#abs-1812-02388

Antonious M. Girgis Özgür Erçetin Mohammed Nafie Tamer A. ElBatt Decentralized coded caching in wireless networks: Trade-off between storage and latency. 2443-2447 2017 ISIT https://doi.org/10.1109/ISIT.2017.8006968 conf/isit/2017 db/conf/isit/isit2017.html#GirgisENE17

Antonious M. Girgis Özgür Erçetin Mohammed Nafie Tamer A. ElBatt Decentralized Coded Caching in Wireless Networks: Trade-off between Storage and Latency. 2017 abs/1701.06673 CoRR http://arxiv.org/abs/1701.06673 db/journals/corr/corr1701.html#GirgisENE17

Antonious M. Girgis Özgür Erçetin Mohammed Nafie Tamer A. ElBatt Degrees of Freedom of Interference Networks with Transmitter-Side Caches. 2017 abs/1712.05957 CoRR http://arxiv.org/abs/1712.05957 db/journals/corr/corr1712.html#abs-1712-05957

Antonious M. Girgis Amr El-Keyi Mohammed Nafie Optimal Energy Allocation for Delay-Constrained Traffic over Fading Multiple Access Channels. 1-6 2016 GLOBECOM https://doi.org/10.1109/GLOCOM.2016.7842084 conf/globecom/2016 db/conf/globecom/globecom2016.html#GirgisEN16 Antonious M. Girgis Amr El-Keyi Mohammed Nafie Ramy H. Gohary Proactive Location-Based Scheduling of Delay-Constrained Traffic over Fading Channels. 1-6 2016 VTC Fall https://doi.org/10.1109/VTCFall.2016.7881179 conf/vtc/2016f db/conf/vtc/vtc2016f.html#GirgisENG16

Antonious M. Girgis Amr El-Keyi Mohammed Nafie Ramy H. Gohary Proactive Location-Based Scheduling of Delay-Constrained Traffic Over Fading Channels. 2016 abs/1607.00329 CoRR http://arxiv.org/abs/1607.00329 db/journals/corr/corr1607.html#GirgisENG16

Antonious M. Girgis Amr El-Keyi Mohammed Nafie Optimal Energy Allocation For Delay-Constrained Traffic Over Fading Multiple Access Channels. 2016 abs/1607.00711 CoRR http://arxiv.org/abs/1607.00711 db/journals/corr/corr1607.html#GirgisEN16

Maruan Al-Shedivat Ehsan Amid Galen Andrew Rohan Anil Blaise Agüera y Arcas Sean Augenstein Amir Salman AvestimehrSalman Avestimehr Zachary Charles Kamalika Chaudhuri Katharine Daly Deepesh Data Suhas N. Diggavi Hubert Eichner Amr El-Keyi Tamer A. ElBatt Özgür Erçetin Christina Fragouli Advait Gadhikar Zachary Garrett Ramy H. Gohary Osama A. Hanna Filip Hanzely Andrew Hard Chaoyang He 0001 Samuel Horváth Zhouyuan Huo Alex Ingerman Martin Jaggi Tara Javidi Gauri Joshi Peter Kairouz Satyen Kale Sai Praneeth Karimireddy Jakub Konecný Oluwasanmi KoyejoSanmi Koyejo Tian Li 0005 Luyang Liu Rajiv Mathews Lara McConnaughey H. Brendan McMahan Mehryar Mohri Mohammed Nafie Kaan Ozkara Hang Qi Sashank J. Reddi Peter Richtárik Karan Singhal Virginia Smith Mahdi Soltanolkotabi Weikang Song Sebastian U. Stich Ananda Theertha Suresh Ameet Talwalkar Hongyi Wang 0001 Jianyu Wang Blake E. Woodworth Shanshan Wu Zheng Xu 0002 Felix X. Yu Honglin Yuan 0002 Manzil Zaheer Mi Zhang 0002 Tong Zhang 0001 Chunxiang Zheng Chen Zhu 0001 Wennan Zhu