#federated learning
Oct 2026
FedNereus: Incentive-Aware Heterogeneous Federated Learning Under Resource Constraint
As public concern about data privacy continues to grow, federated learning (FL), as a machine learning technique that does not require the disclosure of user raw data, has attracted widespread attention. However, it still has many common problems. The first problem stems from the absence of incentive mechanisms utilize...
Fu-Yuan Xia, Chen-Hao Ying, Xikun Jiang et al.
· IEEE transactions on compute... · 0 citations