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!