BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

16 May 2019

Nassir Navab

Papers citing "BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning"

50 / 52 papers shown

Title
Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 58 0 0 29 Apr 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhaoyu Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 67 0 0 13 Mar 2025
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 51 4 0 30 May 2024
PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale Alka Luqman Shivanshu Shekhar Anupam Chattopadhyay FedML 40 0 0 28 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 60 6 0 19 May 2024
Robustness of Decentralised Learning to Nodes and Data Disruption Luigi Palmieri C. Boldrini Lorenzo Valerio A. Passarella M. Conti János Kertész 39 1 0 03 May 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning Michael Duchesne Kaiwen Zhang Talhi Chamseddine FedML 34 0 0 20 Apr 2024
Impact of network topology on the performance of Decentralized Federated Learning Luigi Palmieri C. Boldrini Lorenzo Valerio A. Passarella M. Conti 44 6 0 28 Feb 2024
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Radha Poovendran 26 0 0 10 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 30 0 0 06 Jan 2024
Decentralized Personalized Online Federated Learning Renzhi Wu Saayan Mitra Xiang Chen Anup Rao FedML 29 2 0 08 Nov 2023
Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios Luigi Palmieri C. Boldrini Lorenzo Valerio A. Passarella M. Conti 36 6 0 04 Oct 2023
The effect of network topologies on fully decentralized learning: a preliminary investigation Luigi Palmieri Lorenzo Valerio C. Boldrini A. Passarella 29 9 0 29 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 44 250 0 20 Jul 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 37 1 0 11 Jun 2023
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yu Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 32 60 0 27 Dec 2022
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 45 226 0 15 Nov 2022
Over-The-Air Clustered Wireless Federated Learning Ayush Madhan-Sohini Divin Dominic Nazreen Shah Ranjitha Prasad 29 2 0 07 Nov 2022
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph Yang Lu Zhengxin Yu N. Suri FedML 24 14 0 01 Oct 2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area Zhe Qu Xingyu Li Jie Xu Bo Tang Zhuo Lu Yao-Hong Liu FedML 50 14 0 16 Aug 2022
On Decentralizing Federated Reinforcement Learning in Multi-Robot Scenarios Jayprakash S. Nair Divya D. Kulkarni Ajitem Joshi Sruthy Suresh 23 5 0 19 Jul 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 41 58 0 17 Jun 2022
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning F. Wilhelmi Elia Guerra Paolo Dini 35 6 0 20 May 2022
Decision Models for Selecting Federated Learning Architecture Patterns Sin Kit Lo Qinghua Lu Hye-Young Paik Liming Zhu AI4CE FedML 37 0 0 28 Apr 2022
Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning M. Dahlgaard Morten Wehlast Jorgensen N. Fuglsang Hiba Nassar FedML AAML 38 2 0 25 Apr 2022
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting Yicheng Chen Rick S. Blum Brian M. Sadler FedML 17 7 0 05 Feb 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 58 14 0 26 Jan 2022
A Comprehensive Survey on Federated Learning: Concept and Applications Dhurgham Hassan Mahlool Mohammed Hamzah Abed FedML 23 22 0 23 Jan 2022
Scatterbrained: A flexible and expandable pattern for decentralized machine learning Miller Wilt Jordan K Matelsky A. Gearhart FedML OOD 24 4 0 14 Dec 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification G. N. Gunesli M. Bilal S. Raza Nasir M. Rajpoot FedML OOD 27 20 0 25 Nov 2021
DFL: High-Performance Blockchain-Based Federated Learning Yongding Tian Zhuoran Guo Jiaxuan Zhang Zaid Al-Ars OOD FedML 31 10 0 28 Oct 2021
Generation of Synthetic Electronic Health Records Using a Federated GAN Jo C Weldon T. Ward Eoin Brophy SyDa 42 14 0 06 Sep 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 44 73 0 01 Aug 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 40 74 0 23 Jul 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease Akis Linardos Kaisar Kushibar S. Walsh P. Gkontra Karim Lekadir FedML 25 63 0 07 Jul 2021
FLRA: A Reference Architecture for Federated Learning Systems Sin Kit Lo Qinghua Lu Hye-Young Paik Liming Zhu FedML AI4CE 47 24 0 22 Jun 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks Qian Chen Zilong Wang Wenjing Zhang Xiaodong Lin FedML 33 17 0 30 May 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging Umang Gupta Dmitris Stripelis Pradeep Lam Paul M. Thompson J. Ambite Greg Ver Steeg MIACV FedML 29 32 0 06 May 2021
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things Jiehan Zhou Shouhua Zhang Qinghua Lu W. Dai Min Chen Xin Liu Susanna Pirttikangas Yang Shi Weishan Zhang E. Herrera-Viedma FedML AI4CE 28 44 0 21 Apr 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 24 117 0 22 Mar 2021
Scaling Neuroscience Research using Federated Learning Dimitris Stripelis J. Ambite Pradeep Lam Paul M. Thompson FedML 50 28 0 16 Feb 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 47 94 0 29 Jan 2021
IPLS : A Framework for Decentralized Federated Learning C. Pappas Dimitris Chatzopoulos S. Lalis M. Vavalis VLM 35 66 0 06 Jan 2021
Decentralized Federated Learning via Mutual Knowledge Transfer Chengxi Li Gang Li P. Varshney FedML 26 106 0 24 Dec 2020
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 24 60 0 18 Nov 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images Ming Y. Lu Dehan Kong Jana Lipkova Richard J. Chen Rajendra Singh Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood FedML MedIm 31 168 0 21 Sep 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 131 157 0 22 Jul 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Jed Mills Jia Hu Geyong Min FedML 31 194 0 17 Jul 2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Mehmet Emre Gursoy Stacey Truex Yanzhao Wu FedML 23 146 0 22 Apr 2020