Zhifeng Jiang

According to our database, Zhifeng Jiang authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Feature Reconstruction Attacks and Countermeasures of DNN Training in Vertical Federated Learning.

Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li

IEEE Trans. Dependable Secur. Comput., 2025

SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs.

Yongkang Zhang, Haoxuan Yu, Chenxia Han, Cheng Wang, Baotong Lu, Yunzhe Li, Zhifeng Jiang, Yang Li, Xiaowen Chu, Huaicheng Li

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

2024

Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning.

Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li

Proceedings of the 33rd USENIX Security Symposium, 2024

FedCA: Efficient Federated Learning with Client Autonomy.

Na Lv, Zhi Shen, Chen Chen, Zhifeng Jiang, Jiayi Zhang, Quan Chen, Minyi Guo

Proceedings of the 53rd International Conference on Parallel Processing, 2024

Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy.

Zhifeng Jiang, Wei Wang, Ruichuan Chen

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies.

Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang

IEEE Trans. Big Data, April, 2023

2022

Taming Client Dropout for Distributed Differential Privacy in Federated Learning.

Zhifeng Jiang, Wei Wang, Ruichuan Chen

CoRR, 2022

Pisces: efficient federated learning via guided asynchronous training.

Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

System Optimization in Synchronous Federated Training: A Survey.

Zhifeng Jiang, Wei Wang

CoRR, 2021

FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning.

Zhifeng Jiang, Wei Wang, Yang Liu

CoRR, 2021

Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning.

Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021