SoK: Fully Homomorphic Encryption Accelerators
Junxue Zhang*, Xiaodian Cheng*, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen
arXiv::2212.01713, 2022paper | docker
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SoK: Fully Homomorphic Encryption Accelerators
Junxue Zhang*, Xiaodian Cheng*, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen
arXiv::2212.01713, 2022FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
Junxue Zhang, Xiaodian Cheng, Wei Wang, Liu Yang, Jinbin Hu, Kai Chen
In Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023
paper | usenix page | slides | videoCommunication Efficient Secret Sharing with Dynamic Communication-Computation Conversion
Zhenghang Ren, Xiaodian Cheng, Mingxuan Fan, Junxue Zhang, Cheng Hong
In Proceedings of IEEE International Conference on Computer Communications, 2023
paperEnabling 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
In Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021
paper | ieee dlEnabling ECN for Datacenter Networks with RTT Variations
Junxue Zhang, Wei Bai, Kai Chen
In Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019
paper | acm dl | code | slides | extended versionPractical and Secure Federated Recommendation with Personalized Masks
Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kuo Guo, Kai Chen, Qiang Yang
In International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI, 2022
paperSecure Forward Aggregation for Vertical Federated Neural Networks
Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen
In International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI, 2022
paperAegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
Cengguang Zhang, Junxue Zhang, Di Chai, Kai Chen
In International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality in Conjunction with IJCAI, 2021 (Best Application Paper Award)
paper | award certificateQuantifying the Performance of Federated Transfer Learning
Qinghe Jing, Weiyang Wang, Junxue Zhang, Han Tian, Kai Chen
International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI, 2019 (Best Student Paper Award)
paper | award certificateRethinking Transport Layer Design for Distributed Machine Learning
Jiachen Xia, Gaoxiong Zeng, Junxue Zhang, Weiyang Wang, Wei Bai, Junchen Jiang, Kai Chen
In Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019
paper | acm dlBridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics
Yiding Wang, Weiyang Wang, Junxue Zhang, Junchen Jiang, Kai Chen
In Proceedings of the 11th USENIX Workshop on Hot Topics in Cloud Computing, 2019
paper | usenix page