2 papers
cs.LG2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He, Chuyun Shen, Xiangfeng Wang +1
Federated continual learning (FCL) aims to learn from sequential data stream in the decentralized federated learning setting, while simultaneously mitigating the catastrophic forge…
cs.CV2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He, Xiangfeng Wang
Federated learning is a specific distributed learning paradigm in which a central server aggregates updates from multiple clients' local models, thereby enabling the server to lear…