Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models

9 February 2023

Papers citing "Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models"

7 / 7 papers shown

Title
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 81 0 0 11 Feb 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning Miaoge Li Jingcai Guo Richard Yi Da Xu Dongsheng Wang Xiaofeng Cao Zhijie Rao Song Guo CoGe 68 3 0 28 Jan 2025
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization Yingchun Wang Jingcai Guo Yi Liu Song Guo Weizhan Zhang Xiangyong Cao Qinghua Zheng AAML OODD 31 11 0 19 May 2023
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario Jingcai Guo Song Guo Shiheng Ma Yuxia Sun Yuanyuan Xu AAML 47 26 0 02 May 2023
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement Fushuo Huo Wenchao Xu Jingcai Guo Haozhao Wang Yunfeng Fan Song Guo CLL 51 16 0 20 Mar 2023
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 33 8 0 23 May 2022
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 203 840 0 01 Mar 2021