Open access
2026
Federated Learning with Consistency Optimization Algorithms under Non-IID Data
This paper proposes Federated Learning with Consistency Optimization Algorithms (FedCO), a novel optimization framework that incorporates a label-skew-aware correction loss and neural feature distribution regularization during local training that significantly improves accuracy and convergence under diverse non-IID set...
Ruiqi Wu, Yehong Li, Hongjie Guo et al.
· Computers, Materials & C... · 0 citations