Tian Li
University of Chicago CS · Assistant Professor of Computer Science
Research focus: distributed optimization · federated learning · privacy · trustworthy machine learning
手动应用保护 4 的认证准备审计：作为分布式优化、联邦学习、可信的推理、高效推理或大规模推理的认证准备。
Who this advisor fits / 什么情况下适合你
- Good fit for distributed/federated learning and trustworthy optimization applicants; alumni placement history is not yet source-visible.
- 该学位申请非常适合分布式环境下的federated learning和值得信赖的优化应用li；校友就业历史尚未公开。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.