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Antonious M. Girgis
Antonious M. Girgis
Other namesAntonious Girgis
Research Scientist, Google
Verified email at google.com
Title
Cited by
Cited by
Year
A field guide to federated optimization
J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...
arXiv preprint arXiv:2107.06917, 2021
3102021
Shuffled Model of Differential Privacy in Federated Learning
A Girgis, D Data, S Diggavi, P Kairouz, AT Suresh
International Conference on Artificial Intelligence and Statistics 130, 2521 …, 2021
1552021
Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs
AM Girgis, D Data, S Diggavi, P Kairouz, AT Suresh
IEEE Journal on Selected Areas in Information Theory 2 (1), 464-478, 2021
70*2021
On the renyi differential privacy of the shuffle model
AM Girgis, D Data, S Diggavi, AT Suresh, P Kairouz
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
432021
Decentralized coded caching in wireless networks: Trade-off between storage and latency
AM Girgis, O Ercetin, M Nafie, T ElBatt
2017 IEEE International Symposium on Information Theory (ISIT), 2443-2447, 2017
312017
Differentially private federated learning with shuffling and client self-sampling
AM Girgis, D Data, S Diggavi
2021 IEEE International Symposium on Information Theory (ISIT), 338-343, 2021
162021
Differentially private stochastic linear bandits:(almost) for free
OA Hanna, AM Girgis, C Fragouli, S Diggavi
arXiv preprint arXiv:2207.03445, 2022
122022
Fundamental limits of memory-latency tradeoff in fog radio access networks under arbitrary demands
AM Girgis, O Ercetin, M Nafie, T ElBatt
IEEE Transactions on Wireless Communications 18 (8), 3871-3886, 2019
82019
Distributed user-level private mean estimation
AM Girgis, D Data, S Diggavi
2022 IEEE International Symposium on Information Theory (ISIT), 2196-2201, 2022
42022
Successive refinement of privacy
AM Girgis, D Data, K Chaudhuri, C Fragouli, SN Diggavi
IEEE Journal on Selected Areas in Information Theory 1 (3), 745-759, 2020
42020
A converse bound for cache-aided interference networks
AM Girgis, O Ercetin, M Nafie, T ElBatt
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 177-181, 2018
42018
Proactive location-based scheduling of delay-constrained traffic over fading channels
AM Girgis, A El-Keyi, M Nafie, R Gohary
2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), 1-6, 2016
42016
A statistical framework for personalized federated learning and estimation: Theory, algorithms, and privacy
K Ozkara, AM Girgis, D Data, S Diggavi
The Eleventh International Conference on Learning Representations, 2022
3*2022
Degrees of freedom of interference networks with transmitter-side caches
AM Girgis, O Ercetin, M Nafie, T ElBatt
arXiv preprint arXiv:1712.05957, 2017
32017
Multi-message shuffled privacy in federated learning
AM Girgis, S Diggavi
arXiv preprint arXiv:2302.11152, 2023
22023
Fundamental limits of cache-aided mimo wireless networks
AM Girgis, O Ercetin, M Nafie, T ElBatt
IEEE Transactions on Information Theory, 2023
22023
Hiding identities: Estimation under local differential privacy
AM Girgis, D Data, S Diggavi
2020 IEEE International Symposium on Information Theory (ISIT), 914-919, 2020
2*2020
Coded caching and spatial multiplexing gains in MIMO interference networks
AM Girgis, O Ercetin, M Nafie, T ElBatt
2019 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2019
22019
DECENTRALIZED LEARNING OF MACHINE LEARNING MODEL (S) THROUGH UTILIZATION OF STALE UPDATES (S) RECEIVED FROM STRAGGLER COMPUTING DEVICE (S)
A Hard, S Augenstein, R Anil, R Mathews, L Mcconnaughey, E Amid, ...
US Patent App. 18/075,757, 2024
2024
Learning from straggler clients in federated learning
A Hard, AM Girgis, E Amid, S Augenstein, L McConnaughey, R Mathews, ...
arXiv preprint arXiv:2403.09086, 2024
2024
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