Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization

no code implementations • 10 Feb 2024 • Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann

We propose an innovative federated algorithm, termed hFedF for hypernetwork-based Federated Fusion, designed to bridge the performance gap between generalization and personalization, capable of addressing various degrees of domain shift.

Domain Generalization Federated Learning

Variational Federated Multi-Task Learning

no code implementations • 14 Jun 2019 • Luca Corinzia, Ami Beuret, Joachim M. Buhmann

Despite federated multi-task learning being shown to be an effective paradigm for real-world datasets, it has been applied only on convex models.

Federated Learning Multi-Task Learning +1