Yingjie Zhou

FedTADBench: Federated Time-Series Anomaly Detection Benchmark

2022 · arXiv (Cornell University)

Time series anomaly detection strives to uncover potential abnormal behaviors and patterns from temporal data, and has fundamental significance in diverse application scenarios. Constructing an effective detection model usually requires adequate training data stored in …

Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization

2025 · arXiv (Cornell University)

We investigate the distributed online nonconvex optimization problem with differential privacy over time-varying networks. Each node minimizes the sum of several nonconvex functions while preserving the node's differential privacy. We propose a privacy-preserving distributed online …