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, 2022Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA
Zhenghang Ren, Mingxuan Fan, Zilong Wang, Junxue Zhang, Chaoliang Zeng, Zhicong Huang, Cheng Hong, Kai Chen
In Proceedings of the 32nd USENIX Security Symposium, 2024
paper | usenix pageEnabling Load Balancing for Lossless Datacenters
Jinbin Hu, Chaoliang Zeng, Zilong Wang, Junxue Zhang, Kun Guo, Hong Xu, Jiawei Huang, Kai Chen
In Proceedings of the 31th IEEE International Conference on Network Protocols, 2023 (Best Paper Award)
paper | award certificateFLASH: 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 | videoEnabling 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 versionEfficient DRL-based Congestion Control with Ultra-low Overhead (extended version)
Han Tian, Xudong Liao, Chaoliang Zeng, Decang Sun, Junxue Zhang, Kai Chen
IEEE/ACM Transactions on Networking, 2023 (to appear)
Practical 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 certificateBridging 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