#federated learning
Sep 2026
CSFL: Communication-Efficient Semi-Asynchronous Federated Learning Method in Resource-Constrained Edge Computing
Federated learning (FL) is a distributed machine learning (ML) paradigm that has been widely used to train ML models on massive amounts of data in edge computing (EC) environments. However, FL faces significant challenges from device heterogeneity, edge dynamics, and limited communication resources. To address these ch...
Junyi Deng, Jiahua Liu, Yanheng Liu et al.
· IEEE Internet of Things Jour... · 0 citations