Welcome to my webpage! I am Tianyue Chu, a final-year PhD candidate at Universidad Carlos III de Madrid (UC3M) and a Research Assistant at the IMDEA Networks Institute, Spain. I have been fortunate to work under the guidance of Dr. Nikos Laoutaris, whose mentorship has been instrumental in shaping my research directions.

My research focuses on the intersection of machine learning and distributed learning, with a particular focus on addressing the privacy and security implications in these domains. My research goal is to provide individuals with better control over their privacy, and protection from digital threats. I want to work towards a future where digital services are inherently designed with user privacy and security at the forefront.

Updates

Nov 2024 Served as a TPC member for FLUID AAAI 2025

Oct 2024 Our work on quantifying and preserving privacy in pruned federated learning has been accepted for publication in the ACM Transactions on Modeling and Performance Evaluation of Computing Systems.

Oct 2024 Served as a TPC member for IEEE SECON 2024

Sep 2024 Awarded First Prize in the DataBri-X Datathon 2024

Aug 2024 Served as a TPC member for ACM S3 2024 Workshop, held in conjunction with ACM MobiCom 2024.

Jul 2024 Presented our work on information-theoretic bounds on privacy leakage at the ISIT 2024 Workshop on Information-Theoretic Methods for Trustworthy Machine Learning, Athens, Greece.

Jun 2024 Present our work on FedQV: Leveraging Quadratic Voting in Federated Learning at the ACM SIGMETRICS 2024 Conference, at Venice, Italy.

[Last updated: Nov 2024]