Ghadir Ayache

According to our database, Ghadir Ayache authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs.

Maximilian Egger, Ghadir Ayache, Rawad Bitar, Antonia Wachter-Zeh, Salim El Rouayheb

CoRR, 2024

2023

Walk for Learning: A Random Walk Approach for Federated Learning From Heterogeneous Data.

Ghadir Ayache, Venkat R. Dasari, Salim El Rouayheb

IEEE J. Sel. Areas Commun., April, 2023

2022

Adaptive Bandit Cluster Selection for Graph Neural Networks.

Ghadir Ayache, Thomas Hugues, Chris Xu, Julia Zhang, Diane Hu

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Private Weighted Random Walk Stochastic Gradient Descent.

Ghadir Ayache, Salim El Rouayheb

IEEE J. Sel. Areas Inf. Theory, 2021

2019

Random Walk Gradient Descent for Decentralized Learning on Graphs.

Ghadir Ayache, Salim El Rouayheb

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2018

Matrix Exponential Learning for Resource Allocation with Low Informational Exchange.

Wenjie Li, Mohamad Assaad, Ghadir Ayache, Maialen Larrañaga

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018