Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data

no code implementations • 1 Jun 2022 • Ghadir Ayache, Venkat Dassari, Salim El Rouayheb

One of the main challenges of FL is the communication bottleneck between the nodes and the parameter server.

Federated Learning

Private Weighted Random Walk Stochastic Gradient Descent

no code implementations • 3 Sep 2020 • Ghadir Ayache, Salim El Rouayheb

To speed up the convergence, we propose instead to study random walk based SGD in which a global model is updated based on a random walk on the graph.

Privacy Preserving