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cs.LG2023
Over-the-air Federated Policy Gradient
Huiwen Yang, Lingying Huang, Subhrakanti Dey +1
In recent years, over-the-air aggregation has been widely considered in large-scale distributed learning, optimization, and sensing. In this paper, we propose the over-the-air fede…
cs.LG2023★ 1 cited
FedZeN: Towards superlinear zeroth-order federated learning via incremental Hessian estimation
Alessio Maritan, Subhrakanti Dey, Luca Schenato
Federated learning is a distributed learning framework that allows a set of clients to collaboratively train a model under the orchestration of a central server, without sharing ra…