When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning

Wenkai Yang, Yankai Lin, Guangxiang Zhao +3

Federated Learning has become a widely-used framework which allows learning a global model on decentralized local datasets under the condition of protecting local data privacy. How…