Author

Yang Cao

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Open access Aug 2026

BiFCL: A Bi‐Level Federated Contrastive Learning Framework With Auxiliary Model‐Guided Alignment

Overall, BiFCL provides an effective representation‐alignment strategy for heterogeneous federated learning when a small, diverse, and semantically relevant public, proxy or privacy‐preserving synthetic auxiliary source is available.

Shiqiang Zhang, Yang Cao, Yongli Yang · Expert systems · 0 citations

FedTP: A Federated Learning Framework for Traffic Prediction

FedTP is proposed, a federated learning framework that integrates gradient conflict elimination into the aggregation process and harmonizes local updates, thereby improving fairness across clients without compromising overall predictive accuracy.

Baobao Chai, Zhongyuan Yu, Tianqing He et al. · 0 citations