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cs.LG2025
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…
cs.LG2025
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…
cs.LG2024
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees
Qiu Chengbo, Yang Kai
Learning causal structure from sampled data is a fundamental problem with applications in various fields, including healthcare, machine learning and artificial intelligence. Tradit…