2 papers
cs.LG2024
Towards Client Driven Federated Learning
Songze Li, Chenqing Zhu
Conventional federated learning (FL) frameworks follow a server-driven model where the server determines session initiation and client participation, which faces challenges in acco…
cs.LG2024
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
Jin Xie, Chenqing Zhu, Songze Li
We focus on the problem of Personalized Federated Continual Learning (PFCL): a group of distributed clients, each with a sequence of local tasks on arbitrary data distributions, co…