Tongxin Yin

Joined

May 2022

Names

Tongxin Yin (Preferred)

Emails

****@umich.edu (Confirmed)

Personal Links

Career & Education History

PhD student

University of Michigan - Ann Arbor (umich.edu)

2019 – 2024

Advisors, Relations & Conflicts

PhD Advisor

2019 – 2024

Expertise

No areas of expertise listed

Publications

Federated Learning with Reduced Information Leakage and Computation
Tongxin Yin, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
- Accepted by TMLR
- Readers: Everyone
Fair Classifiers that Abstain without Harm
Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
- ICLR 2024 poster
- Readers: Everyone
Long-Term Fairness with Unknown Dynamics
Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu
- NeurIPS 2023 poster
- Readers: Everyone
Long-Term Fairness with Unknown Dynamics
Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu
- Published: 16 Apr 2023, Last Modified: 21 Apr 2023
- RTML Workshop 2023
- Readers: Everyone
Performative Federated Learning
Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu
- Published: 16 Apr 2023, Last Modified: 24 Apr 2023
- RTML Workshop 2023
- Readers: Everyone
Long-Term Fairness with Unknown Dynamics
Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
Upcycled-FL: Improving Accuracy and Privacy with Less Computation in Federated Learning
Tongxin Yin, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Network Games with Strategic Machine Learning
Kun Jin, Tongxin Yin, Charles A. Kamhoua, Mingyan Liu
- Published: 01 Jan 2021, Last Modified: 17 May 2023
- GameSec 2021
- Readers: Everyone

Co-Authors