Search Results for author: Ye Ding

Found 2 papers, 1 papers with code

DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning

no code implementations14 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.

Personalized Federated Learning

Awesome-META+: Meta-Learning Research and Learning Platform

1 code implementation24 Apr 2023 Jingyao Wang, Chuyuan Zhang, Ye Ding, Yuxuan Yang

The project aims to promote the development of meta-learning and the expansion of the community, including but not limited to the following functions: 1) Complete and reliable meta-learning framework, which can adapt to multi-field tasks such as target detection, image classification, and reinforcement learning.

Image Classification Meta-Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.