Towards More Suitable Personalization in Federated Learning via
Decentralized Partial Model Training

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training

24 May 2023

Li Shen

Papers citing "Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training"

8 / 8 papers shown

Title
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 28 2 0 01 May 2023
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks Hao Sun Li Shen Qihuang Zhong Liang Ding Shi-Yong Chen Jingwei Sun Jing Li Guangzhong Sun Dacheng Tao 41 31 0 01 Mar 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 29 51 0 21 Feb 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 18 221 0 15 Nov 2022
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du Hanshu Yan Jiashi Feng Joey Tianyi Zhou Liangli Zhen Rick Siow Mong Goh Vincent Y. F. Tan AAML 102 132 0 07 Oct 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 183 840 0 01 Mar 2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation Jun Li Yumeng Shao Kang Wei Ming Ding Chuan Ma Long Shi Zhu Han Vincent Poor FedML 55 150 0 18 Jan 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 183 541 0 30 Mar 2020