Federated Learning for Computer Vision

24 August 2023

Hamza Kheddar

Papers citing "Federated Learning for Computer Vision"

27 / 77 papers shown

Title
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms Yi Liu Jiangtian Nie Xuandi Li Syed Hassan Ahmed Wei Yang Bryan Lim Chunyan Miao 117 150 0 23 Jul 2020
Accurate RGB-D Salient Object Detection via Collaborative Learning Wei Ji Jingjing Li Miao Zhang Yongri Piao Huchuan Lu 67 159 0 23 Jul 2020
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 71 277 0 02 Jul 2020
Federated Learning in Vehicular Networks Ahmet M. Elbir Burak Soner Sinem Coleri Deniz Gunduz M. Bennis 66 164 0 02 Jun 2020
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning Renuga Kanagavelu Zengxiang Li J. Samsudin Yechao Yang Feng Yang Rick Siow Mong Goh Mervyn Cheah Praewpiraya Wiwatphonthana K. Akkarajitsakul Shangguang Wang FedML 131 89 0 25 May 2020
Federated learning with hierarchical clustering of local updates to improve training on non-IID data Christopher Briggs Zhong Fan Péter András FedML 61 576 0 24 Apr 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? Sharif Abuadbba Kyuyeon Kim Minki Kim Chandra Thapa S. Çamtepe Yansong Gao Hyoungshick Kim Surya Nepal FedML 33 123 0 16 Mar 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu Anbu Huang Yu Luo He Huang Youzhi Liu Yuanyuan Chen Lican Feng Tianjian Chen Hang Yu Qiang Yang FedML 155 301 0 17 Jan 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 67 352 0 16 Jan 2020
Federated Learning with Bayesian Differential Privacy Aleksei Triastcyn Boi Faltings FedML 51 177 0 22 Nov 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator Shengwen Yang Bing Ren Xuhui Zhou Liping Liu OOD FedML 36 133 0 22 Nov 2019
Secure and Efficient Federated Transfer Learning Shreya Sharma C. Xing Yang Liu Yan Kang FedML 22 80 0 29 Oct 2019
Real-World Image Datasets for Federated Learning Jiahuan Luo Xueyang Wu Yu Luo Anbu Huang Yunfeng Huang Yang Liu Qiang Yang FedML 52 99 0 14 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 88 853 0 08 Oct 2019
Differential Privacy-enabled Federated Learning for Sensitive Health Data Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML OOD 47 176 0 07 Oct 2019
Privacy-preserving Federated Brain Tumour Segmentation Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox ... Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso Andrew Feng FedML 73 477 0 02 Oct 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 98 999 0 23 Jul 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 64 1,355 0 07 Mar 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 706 0 03 Dec 2018
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 41 179 0 19 Oct 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 54 605 0 14 Oct 2018
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation Micah J. Sheller G. A. Reina Brandon Edwards Jason Martin Spyridon Bakas FedML 61 465 0 10 Oct 2018
Deep feature compression for collaborative object detection Hyomin Choi Ivan V. Bajić 45 138 0 12 Feb 2018
Collaborative Learning for Weakly Supervised Object Detection Jiajie Wang Jiangchao Yao Ya Zhang Rui Zhang WSOD 54 48 0 10 Feb 2018
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos Dilip Ravi Kiran Mathew Thomas Ranjith Parakkal 64 448 0 09 Jan 2018
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 150 1,807 0 30 May 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 126 1,897 0 08 Oct 2016