- chungwei@simula.no
Publications
2024
Journal Articles
Y. Yakimenka, C. Weng, H. Lin, E. Rosnes and J. Kliewer
Straggler-resilient differentially-private decentralized learning
IEEE Journal on Selected Areas in Information Theory
2023
Proceedings, refereed
Y. Yakimenka, C. Weng, H. Lin, E. Rosnes and J. Kliewer
Differentially-private collaborative online personalized mean estimation
IEEE International Symposium on Information Theory (ISIT)
2022
Journal Articles
C. Weng, Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer
Generative adversarial user privacy in lossy single-server information retrieval
IEEE Transactions on Information Forensics and Security
Proceedings, refereed
Y. Yakimenka, C. Weng, H. Lin, E. Rosnes and J. Kliewer
Straggler-resilient differentially-private decentralized learning
IEEE Information Theory Workshop (ITW)
2020
Talks, contributed
C. Weng, Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer
Generative adversarial user privacy in lossy single-server information retrieval
The NeurIPS Workshop on Privacy Preserving Machine Learning - PRIML and PPML Joint Edition, Vancouver, Canada (virtual)