DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning - An arXiv Analysis

This research paper proposes a new framework for improving federated learning performance in decentralized settings. The significance of this work lies in its potential to enhance the efficiency and robustness of federated learning, particularly in privacy-sensitive applications.

• •Presents a new framework, DFedReweighting, for federated learning.
• •Aims to improve performance in decentralized settings.
• •Focuses on objective-oriented reweighting strategies.