2 papers
cs.LG2025
FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
Yushan Zhao, Jinyuan He, Donglai Chen +5
Federated learning (FL) is a decentralized collaborative machine learning (ML) technique. It provides a solution to the issues of isolated data islands and data privacy leakage in…
cs.LG2023
Elastically-Constrained Meta-Learner for Federated Learning
Peng Lan, Donglai Chen, Chong Xie +5
Federated learning is an approach to collaboratively training machine learning models for multiple parties that prohibit data sharing. One of the challenges in federated learning i…