Author:
Gao Hang,He Ningxin,Gao Tiegang
Subject
Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software
Cited by
13 articles.
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1. A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy;Information Sciences;2024-01
2. TruFLaaS: Trustworthy Federated Learning as a Service;IEEE Internet of Things Journal;2023-12-15
3. FedSULP: A communication-efficient federated learning framework with selective updating and loss penalization;Information Sciences;2023-12
4. Towards Smart Education in the Industry 5.0 Era: A Mini Review on the Application of Federated Learning;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14
5. Towards Privacy-Aware Federated Learning for User-Sensitive Data;2023 Fifth International Conference on Blockchain Computing and Applications (BCCA);2023-10-24