A bi-level federated learning framework trains time series foundation models on heterogeneous data by enforcing domain-invariant representations locally and improving cross-domain collaboration through aware aggregation.
6.Appendix Fprovides showcase during pretraining and forecasting
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Bi-level Heterogeneous Learning for Time Series Foundation Models: A Federated Learning Approach
A bi-level federated learning framework trains time series foundation models on heterogeneous data by enforcing domain-invariant representations locally and improving cross-domain collaboration through aware aggregation.