Aug 2026
EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models
This work introduces a novel multi-domain federated learning framework in which lightweight client-side proxy models collaborate with a server-side Foundation Model (FM) to learn new concepts without sharing private data.
Matteo Caligiuri, Francesco Barbato, Pietro Zanuttigh et al.
· Trans. Mach. Learn. Res. · 0 citations