Qian Chen

Orcid: 0000-0002-6956-8185

Affiliations:
  • Xidian University, State Key Laboratory of Integrated Service Networks, School of Cyber Engineering, China


According to our database1, Qian Chen authored at least 14 papers between 2021 and 2023.

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Bibliography

2023
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation.
IEEE Trans. Parallel Distributed Syst., June, 2023

FedDual: Pair-Wise Gossip Helps Federated Learning in Large Decentralized Networks.
IEEE Trans. Inf. Forensics Secur., 2023

PAGE: Equilibrate Personalization and Generalization in Federated Learning.
CoRR, 2023

RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks.
CoRR, 2023

PPT: A privacy-preserving global model training protocol for federated learning in P2P networks.
Comput. Secur., 2023

RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Accountable and Verifiable Secure Aggregation for Federated Learning in IoT Networks.
IEEE Netw., 2022

Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation.
CoRR, 2022

Communication-Efficient Cluster Federated Learning in Large-scale Peer-to-Peer Networks.
CoRR, 2022

LLDP: A Layer-wise Local Differential Privacy in Federated Learning.
Proceedings of the IEEE International Conference on Trust, 2022

QP-LDP for better global model performance in federated learning.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

CFL: Cluster Federated Learning in Large-Scale Peer-to-Peer Networks.
Proceedings of the Information Security - 25th International Conference, 2022

An Upper Bound of the Set Size of Perfect Sequences with Optimal Cross-correlation.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks.
CoRR, 2021


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