Open access
Aug 2026
Adaptive Hyperparameter Adjustment and Resource Allocation for Federated Learning in the Industrial Internet of Things
This paper proposes a communication-efficient adaptive federated learning algorithm for heterogeneous defect classification tasks that achieves competitive classification accuracy while reducing single-round training time by up to 70%.
Shuo He, He-Yang Wei, Congxian Bi et al.
· Electronics · 0 citations