Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shift
Published in Proceedings of the AAAI Conference on Artificial Intelligence, 38 (AAAI 2024), 2024
This work introduces a performative framework for federated learning that effectively handles model-dependent and heterogeneous distribution shifts.
*Equal contribution
Recommended citation: Kun Jin*, Tongxin Yin*, Zhongzhu Chen*, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu. (2024). "Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shift." AAAI 2024.
Download Paper
