Zhifeng Jiang

Orcid: 0000-0002-7024-441X

Affiliations:
  • Hong Kong University of Science and Technology


According to our database1, Zhifeng Jiang authored at least 12 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Enabling Client-Autonomous Training Optimizations for Efficient Federated Learning.
IEEE Trans. Parallel Distributed Syst., July, 2026

2025
Feature Reconstruction Attacks and Countermeasures of DNN Training in Vertical Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2025

SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs.
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.
Proceedings of the 33rd USENIX Security Symposium, 2024

FedCA: Efficient Federated Learning with Client Autonomy.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies.
IEEE Trans. Big Data, April, 2023

2022
Taming Client Dropout for Distributed Differential Privacy in Federated Learning.
CoRR, 2022

Pisces: efficient federated learning via guided asynchronous training.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021
System Optimization in Synchronous Federated Training: A Survey.
CoRR, 2021

FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning.
CoRR, 2021

Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021


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