Ghadir Ayache

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Stochastic Gradient Descent

Resource Allocation

Top Venues

IEEE J. Sel. Areas Inf. Theory

IEEE J. Sel. Areas Commun.

IPDPS Workshops

Publications

Maximilian Egger, Ghadir Ayache, Rawad Bitar, Antonia Wachter-Zeh, Salim El Rouayheb
Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs. CoRR (2024)
Ghadir Ayache, Venkat Dassari, Salim El Rouayheb
Walk for Learning: A Random Walk Approach for Federated Learning From Heterogeneous Data. IEEE J. Sel. Areas Commun. 41 (4) (2023)
Ghadir Ayache, Venkat Dasari, Salim El Rouayheb
Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data. CoRR (2022)
Ghadir Ayache, Thomas Hugues, Chris Xu, Julia Zhang, Diane Hu
Adaptive Bandit Cluster Selection for Graph Neural Networks. IEEECONF (2022)
Ghadir Ayache, Salim El Rouayheb
Private Weighted Random Walk Stochastic Gradient Descent. IEEE J. Sel. Areas Inf. Theory 2 (1) (2021)
Ghadir Ayache, Salim El Rouayheb
Private Weighted Random Walk Stochastic Gradient Descent. CoRR (2020)
Ghadir Ayache, Salim El Rouayheb
Random Walk Gradient Descent for Decentralized Learning on Graphs. IPDPS Workshops (2019)
Wenjie Li, Mohamad Assaad, Ghadir Ayache, Maialen Larrañaga
Matrix Exponential Learning for Resource Allocation with Low Informational Exchange. SPAWC (2018)
Wenjie Li, Mohamad Assaad, Ghadir Ayache, Maialen Larrañaga
Matrix Exponential Learning for Resource Allocation with Low Informational Exchange. CoRR (2018)