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cs.LG2024
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
Keting Yin, Jiayi Mao
Federated Learning(FL) is popular as a privacy-preserving machine learning paradigm for generating a single model on decentralized data. However, statistical heterogeneity poses a…
cs.LG2024
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
Hanyang Yuan, Jiarong Xu, Cong Wang +4
The public sharing of user information opens the door for adversaries to infer private data, leading to privacy breaches and facilitating malicious activities. While numerous studi…
cs.LG2024
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series
Hanyang Yuan, Qinglin Cai, Keting Yin
Distance-based time series anomaly detection methods are prevalent due to their relative non-parametric nature and interpretability. However, the commonly used Euclidean distance i…