67 citations · 270 across the 34 of their papers we have counts for
Showing 2023 · cs.LGShow all
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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★ 2 cited
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
Wang Lu, Jindong Wang, Xinwei Sun +4
Time series remains one of the most challenging modalities in machine learning research. The out-of-distribution (OOD) detection and generalization on time series tend to suffer du…
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…