We are the Intelligent System (IntelliSys) Lab in the Computer Science Engineering Division. Our research bridges artificial intelligence (AI) and novel system architectures by designing efficient and robust AI algorithms and developing intelligent and high-performance computing systems. Check our roadmap.


02/02/2024 :tada: Dr. Wang received the Distinguished Member of IEEE INFOCOM 2024 TPC recognition.
02/01/2024 :school_satchel: Hanfei has accepted the summer internship from Azure Research @ Microsoft.
01/16/2024 :pencil: Our paper “Backdoor Federated Learning by Poisoning Backdoor-Critical Layers” has been accepted by ICLR 2024. Congratulations to our two remote interns Haomin and Mingxian! Check this project here.
01/10/2024 :pencil: Our paper “Siren+: Robust Federated Learning with Proactive Alarming and Differential Privacy” has been accepted by IEEE TDSC.
12/15/2023 :tada: William Wei, our summer highschool intern, has been admitted by Yale ! Congratulations to William. Check his fantastic summer project.

Selected Publications

  1. HPDC
    Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters
    In Proceedings of the International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2023
  2. KDD
    CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning
    In Proceedings of the ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2023
    RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing
    In Proceedings of the ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2024
  4. ICLR
    Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
    Accepted by the International Conference on Learning Representations (ICLR) 2024