Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients
Published in IEEE Transactions on Neural Networks and Learning Systems, 2024
This work investigates federated generalization for non-participating clients.
Recommended citation: Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang, and Jie Liu. (2024). Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients. IEEE Transactions on Neural Networks and Learning Systems.