| Federated learning under importance sampling E Rizk, S Vlaski, AH Sayed IEEE Transactions on Signal Processing 70, 5381-5396, 2022 | 51 | 2022 |
| Optimal importance sampling for federated learning E Rizk, S Vlaski, AH Sayed ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 49 | 2021 |
| A graph federated architecture with privacy preserving learning E Rizk, AH Sayed 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 30 | 2021 |
| Dynamic Federated Learning E Rizk, S Vlaski, AH Sayed International Workshop on Signal Processing Advances in Wireless …, 2020 | 26 | 2020 |
| Enforcing privacy in distributed learning with performance guarantees E Rizk, S Vlaski, AH Sayed IEEE Transactions on Signal Processing 71, 3385-3398, 2023 | 13 | 2023 |
| Second-order guarantees in federated learning S Vlaski, E Rizk, AH Sayed 2020 54th Asilomar Conference on Signals, Systems, and Computers, 915-922, 2020 | 8 | 2020 |
| Privatized graph federated learning E Rizk, S Vlaski, AH Sayed EURASIP Journal on Advances in Signal Processing 2023 (1), 87, 2023 | 4 | 2023 |
| Multi-agent adversarial training using diffusion learning Y Cao, E Rizk, S Vlaski, AH Sayed ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Tracking performance of online stochastic learners S Vlaski, E Rizk, AH Sayed IEEE Signal Processing Letters 27, 1385-1389, 2020 | 3 | 2020 |
| Decentralized semi-supervised learning over multitask graphs M Issa, R Nassif, E Rizk, AH Sayed 2022 56th Asilomar Conference on Signals, Systems, and Computers, 419-425, 2022 | 2 | 2022 |
| Local graph-homomorphic processing for privatized distributed systems E Rizk, S Vlaski, AH Sayed ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Decentralized adversarial training over graphs Y Cao, E Rizk, S Vlaski, AH Sayed arXiv preprint arXiv:2303.13326, 2023 | 1 | 2023 |
| Network classifiers with output smoothing E Rizk, R Nassif, AH Sayed arXiv preprint arXiv:1911.04870, 2019 | 1 | 2019 |
| Asynchronous Diffusion Learning with Agent Subsampling and Local Updates E Rizk, K Yuan, AH Sayed ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Multi-agent Learning with Privacy Guarantees E Rizk EPFL, 2023 | | 2023 |
| On the entropy of some classes of distributions and their mixtures EA Rizk | | 2020 |
Ali H SayedDean of Engineering, EPFL, SwitzerlandBestätigte E-Mail-Adresse bei epfl.ch
