Every Client Is an Environment: Federated De-confounding for Spatio-Temporal Forecasting

Qingxiang Liu, Anqi Liang, Heng Wang +1

Federated learning has emerged as a promising paradigm for spatio-temporal forecasting (STF), enabling collaborative model training without sharing raw observations. Existing feder…