no code implementations • 14 Mar 2024 • Xu Yang, Jiyuan Feng, Songyue Guo, Ye Wang, Ye Ding, Binxing Fang, Qing Liao
In this paper, we propose a novel Dynamic Affinity-based Personalized Federated Learning model (DA-PFL) to alleviate the class imbalanced problem during federated learning.
no code implementations • 2 Sep 2018 • Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu
In this work, we study how to explore multiple data sources to improve the performance of the stock prediction.