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cs.LG2025
FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models
Qianyu Long, Qiyuan Wang, Christos Anagnostopoulos +1
Federated Learning (FL), as a distributed learning paradigm, trains models over distributed clients' data. FL is particularly beneficial for distributed training of Diffusion Model…
cs.LG2024
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…