Xu, Guowen

Verifynet: Secure and verifiable federated learning

Xu, G., Li, H., Liu, S., Yang, K., & Lin, X. (2020) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataCryptography and Data Security

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Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

Hao, M., Li, H., Luo, X., Xu, G., Yang, H., & Liu, S. (2020) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 569

Privacy-Enhanced Federated Learning Against Poisoning Adversaries

Liu, X., Li, H., Xu, G., Chen, Z., Huang, X., & Lu, R. (2021) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 351

Privacy-aware and Resource-saving Collaborative Learning for Healthcare in Cloud Computing

Hao, M., Li, H., Xu, G., Liu, Z., & Chen, Z. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 52

Achieving Privacy-preserving Federated Learning with Irrelevant Updates over E-Health Applications

Chen, H., Li, H., Xu, G., Zhang, Y., & Luo, X. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 43