67 citations · 134 across the 14 of their papers we have counts for
8 papers · 1 filter
Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning
Shaoyu Dou, Kai Yang, Yang Jiao +2
Time series analysis has achieved great success in cyber security such as intrusion detection and device identification. Learning similarities among multiple time series is a cruci…
Robust Group Anomaly Detection for Quasi-Periodic Network Time Series
Kai Yang, Shaoyu Dou, Pan Luo +2
Many real-world multivariate time series are collected from a network of physical objects embedded with software, electronics, and sensors. The quasi-periodic signals generated by…
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
Hui Ma, Kai Yang, Yang Jiao
Network traffic prediction plays a crucial role in intelligent network operation. Traditional prediction methods often rely on centralized training, necessitating the transfer of v…
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network
Ya Liu, Kai Yang, Yu Zhu +2
The space-air-ground integrated network (SAGIN) has recently emerged as a core element in the 6G networks. However, traditional centralized and synchronous optimization algorithms…
Provably Convergent Federated Trilevel Learning
Yang Jiao, Kai Yang, Tiancheng Wu +2
Trilevel learning, also called trilevel optimization (TLO), has been recognized as a powerful modelling tool for hierarchical decision process and widely applied in many machine le…
Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks
Arunesh Mittal, Kai Yang, Paul Sajda +1
Several approximate inference methods have been proposed for deep discrete latent variable models. However, non-parametric methods which have previously been successfully employed…