5 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 3 cited
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder
Nan Yang, Xuanyu Chen, Charles Z. Liu +3
Latest federated learning (FL) methods started to focus on how to use unlabeled data in clients for training due to users' privacy concerns, high labeling costs, or lack of experti…
cs.LG2023★ 5 cited
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
Nan Yang, Dong Yuan, Charles Z Liu +2
Most existing federated learning methods assume that clients have fully labeled data to train on, while in reality, it is hard for the clients to get task-specific labels due to us…