1. Federated learning

• Data/ID privacy

• Model inversion/poisoning/stealing attacks

• Robustness against adversarial attacks

• Accuracy and efficiency enhancement

2. Secure multi-party computing

• Threshold cryptosystems and secret sharing

• Homomorphic encryption

• Verifiable computation and zero-knowledge proofs

3. Blockchain security and scalability

• Secure and efficient light clients

• Blockchain sharding

• Rollups for smart contracts

• Information dispersal and data availability proofs

李老师对科研创新有极大热情，特别欢迎同样对科研有热情、有野心的同学加入团队。李老师对科研问题的选择、解决问题的方法和学术论文的撰写都有丰富经验和独到见解。李老师尊重学生的想法，重视并鼓励学生自主发现及探索科研问题。李老师坚持一对一指导科研工作，注重和学生的交流讨论，和学生以合作者的形式共同推进项目进展。