6 citations · 15 across the 9 of their papers we have counts for
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cs.LG2023★ 6 cited
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity
Han Wang, Aritra Mitra, Hamed Hassani +2
We initiate the study of federated reinforcement learning under environmental heterogeneity by considering a policy evaluation problem. Our setup involves agents interacting wi…
cs.LG2022★ 1 cited
FedSysID: A Federated Approach to Sample-Efficient System Identification
Han Wang, Leonardo F. Toso, James Anderson
We study the problem of learning a linear system model from the observations of clients. The catch: Each client is observing data from a different dynamical system. This work a…
cs.LG2022★ 4 cited
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation
Han Wang, Siddartha Marella, James Anderson
Federated learning is a framework for distributed optimization that places emphasis on communication efficiency. In particular, it follows a client-server broadcast model and is pa…