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Ghadir Ayache
Ghadir Ayache
Verified email at scarletmail.rutgers.edu
Title
Cited by
Cited by
Year
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
212021
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
182023
Random walk gradient descent for decentralized learning on graphs
G Ayache, S El Rouayheb
2019 IEEE International Parallel and Distributed Processing Symposium …, 2019
92019
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
32018
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
22022
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
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