5 citations · 8 across the 3 of their papers we have counts for
3 papers
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★ 5 cited
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…
cs.CV2022★ 3 cited
Domain Generalization for Activity Recognition via Adaptive Feature Fusion
Xin Qin, Jindong Wang, Yiqiang Chen +2
Human activity recognition requires the efforts to build a generalizable model using the training datasets with the hope to achieve good performance in test datasets. However, in r…