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 | 322 | 2021 |
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 | 164 | 2021 |
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 | 72* | 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 | 49 | 2021 |
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 | 31 | 2017 |
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 | 17 | 2021 |
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 | 15* | 2024 |
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 | 8 | 2019 |
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 | 5* | 2022 |
Distributed user-level private mean estimation AM Girgis, D Data, S Diggavi 2022 IEEE International Symposium on Information Theory (ISIT), 2196-2201, 2022 | 4 | 2022 |
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 | 4 | 2020 |
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 | 4 | 2018 |
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 | 4 | 2016 |
Degrees of freedom of interference networks with transmitter-side caches AM Girgis, O Ercetin, M Nafie, T ElBatt arXiv preprint arXiv:1712.05957, 2017 | 3 | 2017 |
Multi-message shuffled privacy in federated learning AM Girgis, S Diggavi IEEE Journal on Selected Areas in Information Theory 5, 12-27, 2024 | 2 | 2024 |
Fundamental limits of cache-aided mimo wireless networks AM Girgis, O Ercetin, M Nafie, T ElBatt IEEE Transactions on Information Theory, 2023 | 2 | 2023 |
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 | 2 | 2019 |
Distributed Mean Estimation for Multi-Message Shuffled Privacy AM Girgis, S Diggavi Federated Learning and Analytics in Practice: Algorithms, Systems …, 2023 | 1 | 2023 |
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 |