Abstract: Personalized federated learning (PFL) is a specialized application of the federated learning paradigm designed to support personalized use cases. Unlike traditional federated learning, which ...

IDER is a novel framework for continual learning based on the idempotent property, which mitigates catastrophic forgetting and improves prediction reliability. It is a simple and robust method that ...

Abstract: With a growing data privacy concern, federated learning has emerged as a promising framework to train machine learning models without sharing locally distributed data. In federated learning, ...