Aushim Nagarkatti

Fedvarp: Tackling the variance due to partial client participation in federated learning

Data-heterogeneous federated learning (FL) systems suffer from two significant sources of convergence error: 1) client drift error caused by performing multiple local optimization steps at clients, and 2) partial client participation error caused by the fact that only a small subset of the edge clie…