联邦学习分布式计算
联邦机器学习能有效帮助多个用户在满足隐私保护和数据安全的要求下，进行数据使用和机器学习建模
课题组发表论文：
[1]Jiali Zheng, Yixin Chen, Qijia Lai, PPSFL: Privacy-Preserving Split Federated Learning for heterogeneous data in edge-based Internet of Things, Future Generation Computer Systems, 2024, 156:231-241, doi:10.1016/j.future.2024.03.020 (JCR一区/中科院二区TOP期刊，IF 7.5)
[2]Siyi He, Jiali Zheng, Minyu Feng, Yixin Chen. Communication-Efficient Federated Learning with Adaptive Consensus ADMM. Applied Sciences-Basel, 2023, 13(9):5270, doi:10.3390/app13095270 (中科院四区，IF 2.838)
