Xiaohang Li

AdaFL: Adaptive Client Selection and Dynamic Contribution Evaluation for Efficient Federated Learning

Federated learning is a collaborative machine learning framework where multiple clients jointly train a global model. To mitigate communication overhead, it is common to select a subset of clients for participation in each training round. However, existing client selection strategies often rely on a…