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.


07/16/2024 :trophy: Our project “Enhancing Energy Awareness for Efficient Federated Learning over Mobile AI Systems” have received the NSF CSR Medium grant. Thanks NSF!
07/15/2024 :pencil: Our paper ``Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data’’ has been accepted by ACM MM 2024!
07/10/2024 :calendar: Dr. Wang will give a talk on Distributed DRL with Serverless Computing at IBM T.J. Watson Research Center on July 16.
07/05/2024 :outbox_tray: Please consider submitting your paper to ``Frontiers in Computer Science Software’’ on topics of Serverless Computing for Stateful Applications!
07/01/2024 :pencil: Our paper ``SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks’’ has been accepted by ECCV 2024!

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