FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction

Chengyang Zhou, Zijian Zhang, Chunxu Zhang +4

Federated learning offers a promising paradigm for privacy-preserving traffic prediction, yet its performance is often challenged by the non-identically and independently distribut…