Longyun Yang

Communication-efficient Verifiable and Oblivious Aggregation with Client Dropouts

Federated learning (FL) allows each client to train data locally and share only model parameters with an aggregation server. A critical component of FL is secure aggregation (SA), which protects user privacy during the server-side aggregation of client model parameters. However, SA-based FL still fa…