3 papers
cs.LG2025
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
Penghao Wang, Qian Chen, Teng Zhang +3
Federated Learning (FL) has emerged as an effective solution for multi-institutional collaborations without sharing patient data, offering a range of methods tailored for diverse a…
cs.LG2023
Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching
Qian Chen, Yiqiang Chen, Xinlong Jiang +5
Model fusion is becoming a crucial component in the context of model-as-a-service scenarios, enabling the delivery of high-quality model services to local users. However, this appr…
cs.LG2023
FedBone: Towards Large-Scale Federated Multi-Task Learning
Yiqiang Chen, Teng Zhang, Xinlong Jiang +3
Heterogeneous federated multi-task learning (HFMTL) is a federated learning technique that combines heterogeneous tasks of different clients to achieve more accurate, comprehensive…