Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning

no code implementations • 15 Feb 2024 • Seohyun Lee, Anindya Bijoy Das, Satyavrat Wagle, Christopher G. Brinton

Numerical analysis shows the advantages in terms of convergence speed and straggler resilience of the proposed method to different available FL schemes and benchmark datasets.

Federated Learning reinforcement-learning