Qingmin Zeng

Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning

2023 · IEEE/ACM Transactions on Networking

Federated Learning (FL) is a distributed model training framework that allows multiple clients to collaborate on training a global model without disclosing their local data in edge computing (EC) environments. However, FL usually faces statistical …