We are the Distributed Learning Systems Lab at the Distributed Systems Section, EWI faculty, TU Delft. We working on a wide variety of research problems in distributed machine learning systems, and developing cutting edge AI technology for industry. Check our start-up spin-off, Generatrix.
Our lab is supported by TU Delft, Aegon, ABB Research, Swiss National Science Foundation (SNSF), and Dutch National Science Foundation (NWO).
News
[03/22] Our paper, “LegoDN" , is awareded with Runner-up Community Award at MobiCom
[07/21] We graduate 13 bachelor students on broad topics of synthesizing comics, privacy preserving time-series synthesizing, and robust multi-label learning.
[07/21] Our paper on differential privacy for sparse tensor factorization is accepted in IEEE Transactions on Industrial Informatics
[05/21] Our PerCom'21 papre is invited for a special issuee of Pervasive and Mobile Computing Journal.
[05/21] Our paper, LABELNET: Recovering Noisy Labels, is accepted in IJCNN
[03/21] Our paper on differential private deep learning at edges is acceptedd in IEEE Transactions on Parallel and Distributed Computing
[02/21] Our paper, Enhancing Robustness of On-line Learning Models on Highly Noisy Data, is accepted in IEEE Transactions on Dependable and Secure Computing