Прати
Antonious M. Girgis
Antonious M. Girgis
Друга именаAntonious Girgis
Research Scientist, Google DeepMind
Верификована је имејл адреса на google.com
Наслов
Навело
Навело
Година
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
4222021
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
2242021
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
86*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
642021
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
332017
Differentially private stochastic linear bandits:(almost) for free
O Hanna, AM Girgis, C Fragouli, S Diggavi
IEEE Journal on Selected Areas in Information Theory, 2024
232024
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
212021
Multi-message shuffled privacy in federated learning
AM Girgis, S Diggavi
IEEE Journal on Selected Areas in Information Theory 5, 12-27, 2024
112024
A statistical framework for personalized federated learning and estimation: Theory, algorithms, and privacy
K Ozkara, AM Girgis, D Data, SN Diggavi
International Conference on Learning Representations (ICLR), 2023., 2023
11*2023
Distributed user-level private mean estimation
AM Girgis, D Data, S Diggavi
2022 IEEE International Symposium on Information Theory (ISIT), 2196-2201, 2022
112022
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
92019
Fundamental limits of cache-aided mimo wireless networks
AM Girgis, O Ercetin, M Nafie, T ElBatt
IEEE Transactions on Information Theory 69 (6), 3439-3459, 2023
42023
Deepesh Data, and Suhas Diggavi.“
K Ozkara, AM Girgis
A generative framework for personalized learning and estimation: Theory …, 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
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
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
22024
Distributed mean estimation for multi-message shuffled privacy
AM Girgis, S Diggavi
Federated Learning and Analytics in Practice: Algorithms, Systems …, 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
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