Mechanism Design for Federated Learning with Unstateful Clients

Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong

Abstract Federated learning (FL) is an attractive distributed machine learning paradigm that enables numerous clients to collaboratively train a model under the coordination of a central server, while keeping the […]