Tian Li's Homepage

About Me

I am Tian Li (李恬 in Chinese), a second-year PhD student in Computer Science Department at Carnegie Mellon University working with Prof. Virginia Smith. I am broadly interested in large-scale machine learning, distributed optimization, and data-intensive systems.
Prior to CMU, I received my bachelor's degree in Computer Science and Economics at Peking University in 2018, advised by Prof. Bin Cui.

Updates

[01/2020] I will TA Machine Learning with Large Datasets this semester.
[01/2020] The FedProx work has been accepted by MLSys 2020. We develop an optimization method with the first convergence guarantees and more robust performance for federated learning in heterogeneous environments.
[12/2019] Our work on Fair Resource Allocation in Federated Learning is accepted by ICLR 2020. The code is available here.
[10/2019] We write a blog post about federated learning and some relevant research coming out of CMU. See our recent white paper to learn more.

More...

[09/2019] The LEAF benchmark will appear at the Federated Learning Workshop @ NeurIPS 2019.

Research

All

Manuscripts

Conference Publications

Workshop Papers

Journal Articles

Also see:

Federated Optimization in Heterogeneous Networks
Tian Li, Anit Kumar Sahu, Maziar Sanjabi, Manzil Zaheer, Ameet Talwalkar, Virginia Smith
MLSys 2020
[Arxiv] [Code]

Fair Resource Allocation in Federated Learning
Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith
ICLR 2020
[Open Review][Arxiv][Code]

Learning Context-aware Policies from Multiple Smart Homes via Federated Multi-Task Learning
Tianlong Yu, Tian Li, Yuqiong Sun, Susanta Nanda, Virginia Smith, Vyas Sekar, Srinivasan Seshan
IoTDI 2020 (To Appear)

FedDANE: A Federated Newton-Type Method
Tian Li, Anit Kumar Sahu, Maziar Sanjabi, Manzil Zaheer, Ameet Talwalkar, Virginia Smith
Asilomar Conference on Signals, Systems and Computers 2019 (Invited Paper)
[Arxiv]

Federated Learning: Challenges, Methods, and Future Directions
Tian Li, Anit Kumar Sahu, Ameet Talwalkar, Virginia Smith
[Arxiv][Blog post]

LEAF: A Benchmark for Federated Settings
Sebastian Caldas, Sai Meher Karthik Duddu, Peter Wu, Tian Li, Jakub Konecny, H. Brendan McMahan, Virginia Smith, Ameet Talwalkar
Federated Learning Workshop @ NeurIPS 2019
[Arxiv][Website]

Ease.ml: Towards Multitenant Resource Sharing for Machine Learning Workloads
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
VLDB 2018
[PDF] [Arxiv]

CUTE: Query Knowledge Graphs by Tabular Examples
Zichen Wang*, Tian Li*, Yingxia Shao, Bin Cui
WAIM 2018 (demo)
[PDF] [Poster]

An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision
Ce Zhang, Wentao Wu, Tian Li
HILDA Workshop @ SIGMOD 2017
[PDF]

Experiences

2018 -

Research Assistant at CMU working with professor Virginia Smith

2016 - 2018

Research Assistant at Data and Information Management Group working with professor Bin Cui

2017/10-2018/01

Research Intern at Internet Graphics Group working with Steve Lin

Summer 2017

Research Assistant at Systems Group working with professor Ce Zhang

Hi, I'm Tian Li

PhD student in Computer Science