We are the Distributed Intelligent 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

  • [03/21] Our paper on differential private deep Learning at edges, is accpted in IEEE Transactions on Parallel and Distributed Computing
  • [02/21] Our paper, Enhancing Robustness of On-line Learning Models on Highly Noisy Data, is accpted in IEEE Transactions on Dependable and Secure Computing
  • [01/21] Our paper, Online Label Aggregation: A Variational Bayesian Approach, is accpted in WWW21
  • [01/21] Our two papers on Multiple Inference of Deep Models on Edge will appear in PerCom2021
  • [12/20] We just received a NWO take-off grant for our project, "Tabular Data Synthesizer"
  • [12/20] Our paper on Practical Analysis of Replication-Based Systems will appear in INFOCOM2021
  • [11/20] Our paper on Courier: Real-Time Optimal Batch Size Prediction for Latency SLOs in BigDL will appear in ICPE21
  • [11/20] Our paper on Federated Learnnig at Heterogeneous Platform will appear in AI/ML special issue of TPDS
  • [11/20] Our paper on Stochastic Optimization for Parallel Sparse Tucker Decomposition will appear in AI/ML special issue of TPDS
  • [08/20] Lydia is invited to be TPC for Usenix ATC 21
  • [10/20] Our paper on Federated Learnnig will appear in TPS20
  • [10/20] Our paper on End-to-End Learning will appear in CogMI20
  • [09/20] Our paper, PipeTune, will appear in Middleware20
  • [08/20] Lydia will serve a TPC co-chair of IC2E21
  • [07/20] Lydia will give a keynote on privacy presserving machine learning systems at ALGOCLOUD20
  • [07/20] Lydia is invited to be TPC for Sigmetrics21
  • [07/20] The lab webpage launched!
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