Federated Learning Clients Clustering with Adaptation to Data Drifts

Minghao Li, Dmitrii Avdiukhin, Rana Shahout +3

Federated Learning (FL) trains deep models across edge devices without centralizing raw data, preserving user privacy. However, client heterogeneity slows down convergence and limi…