Privacy-preserving Decentralized Aggregation for Federated Learning

13 December 2020

Papers citing "Privacy-preserving Decentralized Aggregation for Federated Learning"

7 / 7 papers shown

Title
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 75 0 0 02 Dec 2024
Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation Hao Wang Yichen Cai Jun Wang Chuan Ma Chunpeng Ge Xiangmou Qu Lu Zhou 40 1 0 13 Aug 2024
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication Marco Bornstein Tahseen Rabbani Evana Wang Amrit Singh Bedi Furong Huang FedML 49 18 0 25 Oct 2022
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph Yang Lu Zhengxin Yu N. Suri FedML 24 14 0 01 Oct 2022
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework Zhen Qin Xueqiang Yan Mengchu Zhou Shuiguang Deng 17 12 0 21 May 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions Chamara Sandeepa Bartlomiej Siniarski N. Kourtellis Shen Wang Madhusanka Liyanage 29 21 0 08 Mar 2022
Enabling SQL-based Training Data Debugging for Federated Learning Yejia Liu Weiyuan Wu Lampros Flokas Jiannan Wang Eugene Wu FedML 23 15 0 26 Aug 2021