Harshik97/Efficient-Client-Selection-in-Federated-Learning.

Efficient-Client-Selection-in-Federated-Learning.

The code in this repositiory is an implementation of the Power-of-Choice Client Selection paper. The goal is to analyze the convergence speed and the error floor of distributed logitsic regression on a set of clients.

Paper Link.

Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies