SuperFed: Weight Shared Federated Learning

no code implementations • 26 Jan 2023 • Alind Khare, Animesh Agrawal, Myungjin Lee, Alexey Tumanov

We propose SuperFed - an architectural framework that incurs $O(1)$ cost to co-train a large family of models in a federated fashion by leveraging weight-shared learning.

Federated Learning Privacy Preserving