A Comprehensive Survey on Federated Learning: Concept and Applications

23 January 2022

Papers citing "A Comprehensive Survey on Federated Learning: Concept and Applications"

12 / 12 papers shown

Title
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Quoc-Viet Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 66 426 0 05 Apr 2021
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge A. Qayyum Kashif Ahmad Muhammad Ahtazaz Ahsan Ala I. Al-Fuqaha Junaid Qadir FedML 61 189 0 19 Jan 2021
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging R. Kumar A. Khan Sinmin Zhang Jay Kumar Wenyong Wang Yousif Abuidris Zakria Waqas Amin Sidra Shafiq WenYong Wang OOD FedML 49 326 0 10 Jul 2020
Wireless Communications for Collaborative Federated Learning Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 26 156 0 03 Jun 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19 F. Shi Jun Wang Jun Shi Zi-xiang Wu Qian Wang Zhenyu Tang Kelei He Yinghuan Shi Dinggang Shen 76 1,057 0 06 Apr 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 56 353 0 16 Jan 2020
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 91 1,589 0 01 Nov 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 61 1,184 0 17 Sep 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 44 1,343 0 07 Mar 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 88 2,652 0 04 Feb 2019
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data R. SantiagoS.Silva B. Gutman E. Romero P. Thompson Andre Altmann Marco Lorenzi FedML 34 178 0 19 Oct 2018
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 80 522 0 23 May 2017