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

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2022★ 2 cited

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

Ghadir Ayache, Venkat Dassari, Salim El Rouayheb

We consider the problem of a Parameter Server (PS) that wishes to learn a model that fits data distributed on the nodes of a graph. We focus on Federated Learning (FL) as a canonic…