Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning

Xiaorui Jiang, Yu Gao, Hengwei Xu +3

Federated Learning (FL) allows several clients to cooperatively train machine learning models without disclosing the raw data. In practical applications, asynchronous FL (AFL) can…