Preprint Open access
Best of Both Worlds in Federated LSA: Speedup When Possible, Personalization Always
We study personalized federated linear stochastic approximation (LSA), a framework which notably encompass personalized temporal difference learning. In this setting, heterogeneous agents collaborate to solve distinct linear fixed-point equations, each corresponding to an agent-specific learning problem. A central open …