Author

Tiffany J. Vlaar

University of Edinburgh

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#machine learning Preprint Sep 2026

Lightweight Probabilistic Downscaling from a Deterministic Base Model

This work finds that a two-stage training curriculum, combining deterministic pretraining with probabilistic tuning, transfers well to downscaling, beating the state-of-the-art for RMSE.

Joseph McLean, Tiffany J. Vlaar, Sigrid Passano Hellan et al. · 0 citations

Preprint Aug 2026

Could Model Partitioning Make Federated Learning More Sustainable?

This work proposes applying model partitioning, which can shift energy consumption by offloading parts of a model to another participant, in response to carbon- or grid-aware signals, in response to carbon- or grid-aware signals.

T. Frohlich, Tiffany J. Vlaar, L. Thamsen · 0 citations