KnFu: Effective Knowledge Fusion

no code implementations • 18 Mar 2024 • S. Jamal Seyedmohammadi, S. Kawa Atapour, Jamshid Abouei, Arash Mohammadi

Conventional FL, however, is susceptible to gradient inversion attacks, restrictively enforces a uniform architecture on local models, and suffers from model heterogeneity (model drift) due to non-IID local datasets.

Federated Learning Knowledge Distillation