A Survey on Decentralized Federated Learning

8 August 2023

Gabriele Tolomei

Papers citing "A Survey on Decentralized Federated Learning"

20 / 20 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 44 0 0 08 May 2025
Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends Kai Li Zhengyang Zhang Azadeh Pourkabirian Wei Ni Falko Dressler Ozgur B. Akan 43 0 0 01 Apr 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions Maryam Ebrahimi Rajeev Sahay Seyyedali Hosseinalipour Bita Akram 37 1 0 20 Jan 2025
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 44 3 0 03 Nov 2024
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration Qinglun Li Miao Zhang Yingqi Liu Quanjun Yin Li Shen Xiaochun Cao FedML 30 0 0 09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 9 0 0 09 Oct 2024
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks Ferran Hernandez Caralt Guillermo Bernárdez Gil Iulia Duta Pietro Lio' Eduard Alarcón-Cot 19 2 0 30 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community Yan Liu Bin Guo Nuo Li Yasan Ding Zhouyangzi Zhang Zhiwen Yu 30 1 0 09 Jul 2024
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning Lin Wang Yang Chen Yongxin Guo Xiaoying Tang FedML 36 0 0 05 Jul 2024
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications Grant Wilkins Sheng Di Jon C. Calhoun Zilinghan Li Kibaek Kim Robert Underwood Richard Mortier Franck Cappello FedML 24 1 0 20 Dec 2023
The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies F. Wilhelmi Nima Afraz Elia Guerra Paolo Dini 18 3 0 11 Oct 2023
Asymmetrically Decentralized Federated Learning Qinglun Li Miao Zhang Nan Yin Quanjun Yin Li Shen FedML 14 4 0 08 Oct 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali W. Mansoor FedML 10 20 0 24 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models Yeqi Gao Zhao-quan Song Junze Yin 15 18 0 21 Aug 2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning Qinglun Li Li Shen Guang-Ming Li Quanjun Yin Dacheng Tao FedML 24 7 0 16 Aug 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 30 74 0 02 Jun 2023
Trustworthy Federated Learning via Blockchain Zhanpeng Yang Yuanming Shi Yong Zhou Zixin Wang Kai Yang 32 66 0 13 Aug 2022
Turning Federated Learning Systems Into Covert Channels Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 29 9 0 21 Apr 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 55 149 0 18 Jan 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 174 1,014 0 29 Nov 2018