Personalizing Federated Learning with Over-the-Air Computations

no code implementations • 24 Feb 2023 • Zihan Chen, Zeshen Li, Howard H. Yang, Tony Q. S. Quek

Additionally, we leverage a bi-level optimization framework to personalize the federated learning model so as to cope with the data heterogeneity issue.

Federated Learning Privacy Preserving