Client Contribution Assessment

Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm

Authors: Yuxin Jin, Taotao Wang, Qing Yang, Long Shi, Shengli Zhang | Published: 2025-03-18 | Updated: 2025-03-24
Client Contribution Assessment
Privacy-Preserving Machine Learning
Malicious Client

Don’t Forget What I did?: Assessing Client Contributions in Federated Learning

Authors: Bishwamittra Ghosh, Debabrota Basu, Fu Huazhu, Wang Yuan, Renuga Kanagavelu, Jiang Jin Peng, Liu Yong, Goh Siow Mong Rick, Wei Qingsong | Published: 2024-03-11
Client Contribution Assessment
Optimization Methods
Federated Learning

Competitive Advantage Attacks to Decentralized Federated Learning

Authors: Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong | Published: 2023-10-20
Client Contribution Assessment
Poisoning
Adversarial attack

FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices

Authors: Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad, Mohsen Guizani | Published: 2022-10-31
Client Contribution Assessment
Model Design and Accuracy
Optimization Methods

Secure Weighted Aggregation for Federated Learning

Authors: Jiale Guo, Ziyao Liu, Kwok-Yan Lam, Jun Zhao, Yiqiang Chen, Chaoping Xing | Published: 2020-10-17 | Updated: 2021-05-11
Client Contribution Assessment
Distributed Learning
Threat Model

Abnormal Client Behavior Detection in Federated Learning

Authors: Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen | Published: 2019-10-22 | Updated: 2019-12-06
Client Contribution Assessment
Poisoning
Anomaly Detection Method

Reliable Federated Learning for Mobile Networks

Authors: Jiawen Kang, Zehui Xiong, Dusit Niyato, Yuze Zou, Yang Zhang, Mohsen Guizani | Published: 2019-10-14
Client Contribution Assessment
Blockchain Integration
Trust Evaluation