I am a professor at University of Neuchatel and TU Delft. I am the director of Distributed Learning Systems Lab. I returned to academia, after a decade of industry experience at the IBM Research Zurich Lab. My research interests lie in the distinct areas of deep machine learning, big data systems, and privacy enhancing technology. I am also the co-founder of BlueGen.ai. My research is supported by the Swiss National Science Foundation, Dutch National Science Foundation the European Union, IBM Research, ABB, and TU Delft.
I have multiple open PhD positions. If you are interested in them, please drop me an email at lydiaychen@ieee.org.
Privacy-preserving learning systems by synthetic data:
how to maximize the knowledge of while maintaining data privacy ? I am exploring the deep generative models to synthesize data.
Robust learning systems:
how to make learning algorithms robust against adversaries that maliciously manipulate data input? I am designing practical strategies and theories against attackers, e.g., free riders, and thief.
Federated machine learning systems:
how to decentralizedly learn deep learning models on heterogeneous clients who contentiously encounter new learning tasks and data domain shift? I am working on domain adaptation, and continual learning in FL.
[07/23] Lydia will server NWO Open Competition assessment committee
[06/23] Our paper, “Exploring and Exploiting Data-Free Model Stealing" , is accpted in ECML 23
[04/23] Our paper, “LeadFL: Client Self-Defense against Model Poisoning in Federated Learning" , is accpted in ICML 23
[03/23] Our paper, “Fabricated Flips: Poisoning Federated Learning without Data" , is accpted in DSN 23
[02/23] Our paper, “Maverick Matters: Client Contribution and Selection in Federated Learning" , is accpted in PAKDD 23
[01/23] Our paper, “Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks" , is accpted in Financial Crypto 23
[12/22] Our paper, “Robust Learning via Golden Symmetric Loss of (un)Trusted Labels
" , is accpted in SIAM SDM 23
[10/22] Our paper, “FedKNow:Federated Continual Learning with Signature Task Knowledge Integration at Edge" , is accpted in IEEE ICDE 23
Old News.....
I have multiple open PhD positions. If you are interested in them, please drop me an email at lydiaychen@ieee.org.
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Old News.....