Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning

Yuan-Heng Tsai, Li-Hsing Yen, Yan-Wei Chen

Federated learning (FL) is a popular distributed learning framework where multiple clients perform local training and a server aggregates the locally updated models. FL enables dec…