Matrix Exponential Learning for Resource Allocation with Low Informational Exchange. - Wenjie Li 001; Mohamad Assaad; Ghadir Ayache; Maialen Larrañaga (SPAWC, 2018)

Random Walk Gradient Descent for Decentralized Learning on Graphs. - Ghadir Ayache; Salim El Rouayheb (IPDPS Workshops, 2019)

Private Weighted Random Walk Stochastic Gradient Descent. - Ghadir Ayache; Salim El Rouayheb (IEEE J. Sel. Areas Inf. Theory, 2021)

Adaptive Bandit Cluster Selection for Graph Neural Networks. - Ghadir Ayache; Thomas Hugues; Chris Xu; Julia Zhang; Diane Hu (IEEECONF, 2022)

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., 2023)

Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs. - Maximilian Egger; Ghadir Ayache; Rawad Bitar; Antonia Wachter-Zeh; Salim El Rouayheb (GLOBECOM, 2024)