Full Publications

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* indicates equal contribution.


  1. SoK: Fully Homomorphic Encryption Accelerators
    Junxue Zhang*, Xiaodian Cheng*, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen
    arXiv::2212.01713, 2022
    [paper] [docker]

Conference Paper

  1. FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
    Junxue Zhang, Xiaodian Cheng, Wei Wang, Liu Yang, Jinbin Hu, Kai Chen
    NSDI 2023 (To appear)
  2. Communication Efficient Secret Sharing with Dynamic Communication-Computation Conversion
    Zhenghang Ren, Xiaodian Cheng, Mingxuan Fan, Junxue Zhang, Cheng Hong
    INFOCOM 2023 (To appear)
  3. Spine: An Efficient DRL-based Congestion Control with Ultra-low Overhead
    Han Tian, Xudong Liao, Chaoliang Zeng, Junxue Zhang, Kai Chen
    CoNEXT 2022
  4. Towards the Full Extensibility of Multipath TCP with eMPTCP
    Bin Yang, Dian Shen, Junxue Zhang, Fang Dong, Junzhou Luo, John. C.S. Lui
    ICNP 2022
    [paper] [code]
  5. LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath
    Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen
    SIGCOMM 202
    [paper] [code] [slides]
  6. Practical Lossless Federated Singular Vector Decomposition Over Billion-Scale Data
    Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang
    KDD 2022
    [paper] [code]
  7. Multi-Objective Congestion Control
    Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin
    EuroSys 2022
  8. Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
    Han Tian, Chaoliang Zeng, Zhenhang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang
    Oakland 2022
  9. Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild
    Zhaowu Huang, Fang Dong, Dian Shen, Junxue Zhang, Huitian Wang, Guangxing Cai, Qiang He
    ICDCS 2021
  10. Enabling ECN for Datacenter Networks with RTT Variations
    Junxue Zhang, Wei Bai, Kai Chen
    CoNEXT 2019
    [paper] [code] [slides]
  11. Resilient Datacenter Load Balancing in the Wilds
    Hong Zhang, Junxue Zhang, Wei Bai, Kai Chen, Chowdhury Mosharaf
    SIGCOMM 2017
    [paper] [code]

Journal Paper

Workshop Paper

  1. Practical and Secure Federated Recommendation with Personalized Masks
    Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kuo Guo, Kai Chen, Qiang Yang
    FL-IJCAI 2022
  2. Secure Forward Aggregation for Vertical Federated Neural Networks
    Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen
    FL-IJCAI 2022
  3. Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
    Cengguang Zhang, Junxue Zhang, Di Chai, Kai Chen
    FL-IJCAI 2021 (Best Application Paper Award)
  4. Resilient Allreduce Tree for Distributed Machine Learning
    Xinchen Wan, Hong Zhang, Hao Wang, Shuihai Hu, Junxue Zhang, Kai Chen
    APNet 2020
  5. Quantifying the Performance of Federated Transfer Learning
    Qinghe Jing, Weiyang Wang, Junxue Zhang, Han Tian, Kai Chen
    FL-IJCAI 2019 (Best Student Paper Award)
  6. Rethinking Transport Layer Design for Distributed Machine Learning
    Jiachen Xia, Gaoxiong Zeng, Junxue Zhang, Weiyang Wang, Wei Bai, Junchen Jiang, Kai Chen
    APNet 2019
  7. Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics
    Yiding Wang, Weiyang Wang, Junxue Zhang, Junchen Jiang, Kai Chen
    HotCloud 2019