Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme

Qianyu Long, Qiyuan Wang, Christos Anagnostopoulos +1

Decentralized Federated Learning (DFL) has become popular due to its robustness and avoidance of centralized coordination. In this paradigm, clients actively engage in training by…