Li, Hongwei

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

Cited by 839

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

Secure Multi-Party Computation: Theory, practice and applications

Zhao, C., Zhao, S., Zhao, M., Chen, Z., Gao, C.-Z., Li, H., & Tan, Y.-A. (2019) · Information Sciences

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 508

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-Preserving Byzantine-Robust Federated Learning via Blockchain Systems

Miao, Y., Liu, Z., Li, H., Choo, K.-K. R., & Deng, R. H. (2022) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 303

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