Kewen Liao

Kewen Liao is an Associate Professor at the Peter Faber Business School, Faculty of Law and Business. His research develops efficient algorithms for clustering, federated learning, and high-dimensional data analysis.

Research focuses on constrained optimization problems, privacy-preserving machine learning, and scalable algorithms for big data systems. Recent work includes federated subspace clustering and constrained k-means solutions.

Articles demonstrate expertise in algorithm design for distributed systems, data privacy, and computational optimization in machine learning contexts.