Author

Congxian Bi

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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