Performative Federated Learning: A Solution to Model-Dependent and
Heterogeneous Distribution Shifts

Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts

8 May 2023

Yang Liu

Papers citing "Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts"

7 / 7 papers shown

Title
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 107 3 0 19 Nov 2024
ProFL: Performative Robust Optimal Federated Learning Xue Zheng Tian Xie Xuwei Tan Aylin Yener Xueru Zhang Ali Payani Myungjin Lee FedML 35 0 0 23 Oct 2024
Privacy-Aware Randomized Quantization via Linear Programming Zhongteng Cai Xueru Zhang Mohammad Mahdi Khalili 52 2 0 01 Jun 2024
Algorithmic Decision-Making under Agents with Persistent Improvement Tian Xie Xuwei Tan Xueru Zhang 50 4 0 03 May 2024
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes Tian Xie Zhiqun Zuo Mohammad Mahdi Khalili Xueru Zhang OffRL 38 2 0 03 May 2024
Outside the Echo Chamber: Optimizing the Performative Risk John Miller Juan C. Perdomo Tijana Zrnic 82 97 0 17 Feb 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent Zachary Izzo Lexing Ying James Zou 87 74 0 15 Feb 2021