Private Weighted Random Walk Stochastic Gradient Descent G Ayache, S El Rouayheb IEEE Journal on Selected Areas in Information Theory 2 (1), 452-463, 2021 | 21 | 2021 |
Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data G Ayache, V Dassari, S El Rouayheb IEEE Journal on Selected Areas in Communications 41 (4, April 2023), 2023 | 18 | 2023 |
Random walk gradient descent for decentralized learning on graphs G Ayache, S El Rouayheb 2019 IEEE International Parallel and Distributed Processing Symposium …, 2019 | 9 | 2019 |
Matrix exponential learning for resource allocation with low informational exchange W Li, M Assaad, G Ayache, M Larrañaga 2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018 | 3 | 2018 |
Adaptive Bandit Cluster Selection for Graph Neural Networks G Ayache, T Hugues, C Xu, J Zhang, D Hu 2022 56th Asilomar Conference on Signals, Systems, and Computers, 1385-1392, 2022 | 2 | 2022 |
Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs M Egger, G Ayache, R Bitar, A Wachter-Zeh, SE Rouayheb arXiv preprint arXiv:2407.11762, 2024 | | 2024 |
Random walk algorithms for private and decentralized learning on graphs G Ayache Rutgers The State University of New Jersey, School of Graduate Studies, 2022 | | 2022 |
Self-Duplicating Random Walks for Failure Resilience S El Rouayheb, M Egger, G Ayache, R Bitar, A Wachter-Zeh 2025 Joint Mathematics Meetings (JMM 2025), 0 | | |