Xiong, Li

Advances and Open Problems in Federated Learning

Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., et al. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 7,857

From Tree House to Barracks: The Social Life of Guilds in World of Warcraft

Williams, D., Ducheneaut, N., Xiong, L., Zhang, Y., Yee, N., & Nickell, E. (2006) · Games and Culture

Digital Games and MediaEducational Games and Gamification

Cited by 659

Smart Contract Based Data Trading Mode Using Blockchain and Machine Learning

Xiong, W., & Xiong, L. (2019) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 106

Generating sequential electronic health records using dual adversarial autoencoder

Lee, D., Yu, H., Jiang, X., Rogith, D., Gudala, M., Tejani, M., Zhang, Q., & Xiong, L. (2020) · Journal of the American Medical Informatics Association

Machine Learning in HealthcarePrivacy-Preserving Technologies in Data

Cited by 66

RobustFed: A Truth Inference Approach for Robust Federated Learning

Tahmasebian, F., Lou, J., & Xiong, L. (2022) · Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 26