Title
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 39 4 0 05 Jul 2023
Transformers in Healthcare: A Survey Subhash Nerella S. Bandyopadhyay Jiaqing Zhang Miguel Contreras Scott Siegel ... Jessica Sena B. Shickel A. Bihorac Kia Khezeli Parisa Rashidi MedIm AI4CE 26 25 0 30 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 99 87 0 27 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 47 115 0 09 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization Weiming Zhuang Lingjuan Lyu 27 9 0 09 Jun 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 48 5 0 01 May 2023
Client Recruitment for Federated Learning in ICU Length of Stay Prediction Vincent Scheltjens Lyse Naomi Wamba Momo Wouter Verbeke B. De Moor OOD FedML 19 1 0 28 Apr 2023
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation Li Lin Jiewei Wu Yixiang Liu Kenneth K. Y. Wong Xiaoying Tang FedML 32 6 0 12 Apr 2023
Federated Incremental Semantic Segmentation Jiahua Dong Duzhen Zhang Yang Cong Wei Cong Henghui Ding Dengxin Dai FedML 37 39 0 10 Apr 2023
A Generalized Look at Federated Learning: Survey and Perspectives Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae Zhaohui Yang OOD FedML 42 0 0 26 Mar 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Yash Travadi Le Peng Xuan Bi Ju Sun Mochen Yang FedML 32 3 0 17 Feb 2023
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation F. Santini Jakob Wasserthal Abramo Agosti X. Deligianni K. Keene ... C. Weidensteiner G. Manco Matteo Paoletti Valentina Mazzoli Arjun D Desai FedML MedIm 24 9 0 13 Feb 2023
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning Morteza Varasteh AAML FedML 19 1 0 10 Feb 2023
Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III Aron N. Horvath Matteo Berchier Farhad Nooralahzadeh Ahmed Allam Michael Krauthammer FedML 23 2 0 08 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 39 18 0 03 Feb 2023
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation Muhammad Irfan Khan Mohammad Ayyaz Azeem E. Alhoniemi Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 33 3 0 30 Jan 2023
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 18 5 0 22 Dec 2022
Modeling Global Distribution for Federated Learning with Label Distribution Skew Tao Sheng Cheng Shen Yuan Liu Yeyu Ou Zhe Qu Jianxin Wang FedML 27 7 0 17 Dec 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 25 93 0 15 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System Yue Yang Jingwei Sun Ang Li H. Li Yiran Chen OOD 31 0 0 11 Nov 2022
Auxo: Efficient Federated Learning via Scalable Client Clustering Jiachen Liu Fan Lai Yinwei Dai Aditya Akella H. Madhyastha Mosharaf Chowdhury 57 10 0 29 Oct 2022
NVIDIA FLARE: Federated Learning from Simulation to Real-World H. Roth Yan Cheng Yuhong Wen Isaac Yang Ziyue Xu ... Daguang Xu Nic Ma Prerna Dogra Mona G. Flores Andrew Feng FedML AI4CE 27 97 0 24 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 30 27 0 16 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability Zhao Song Yitan Wang Zheng Yu Licheng Zhang FedML 25 28 0 15 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 30 0 0 06 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 36 39 0 05 Oct 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy Zhifeng Jiang Wei Wang Ruichuan Chen 48 7 0 26 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje FedML 30 70 0 10 Sep 2022
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing J. Troncoso-Pastoriza Alain Mermoud Romain Bouyé Francesco Marino Jean-Philippe Bossuat Vincent Lenders Jean-Pierre Hubaux 37 3 0 06 Sep 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation H. Roth Ali Hatamizadeh Ziyue Xu Can Zhao Wenqi Li Andriy Myronenko Daguang Xu FedML 37 9 0 22 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 41 13 0 21 Aug 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion Duy Phuong Nguyen Sixing Yu J. P. Muñoz Ali Jannesari FedML 21 12 0 16 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 48 91 0 05 Aug 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 20 7 0 28 Jul 2022
Privacy Against Inference Attacks in Vertical Federated Learning Borzoo Rassouli Morteza Varasteh Deniz Gunduz AAML FedML 53 4 0 24 Jul 2022
Study of the performance and scalability of federated learning for medical imaging with intermittent clients Judith Sáinz-Pardo Díaz Á. García FedML OOD 32 51 0 18 Jul 2022
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis Onat Dalmaz Muhammad Usama Mirza Gokberk Elmas Muzaffer Özbey S. Dar Emir Ceyani Salman Avestimehr Tolga cCukur MedIm 33 39 0 13 Jul 2022
Personalizing Federated Medical Image Segmentation via Local Calibration Jiacheng Wang Yueming Jin Liansheng Wang FedML 16 31 0 11 Jul 2022
Smart Multi-tenant Federated Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 38 2 0 09 Jul 2022
FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis M. Pennisi Federica Proietto Salanitri Giovanni Bellitto Bruno Casella Marco Aldinucci S. Palazzo C. Spampinato OOD 30 9 0 20 Jun 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training Zhifeng Jiang Wei Wang Baochun Li Bo Li FedML 29 24 0 18 Jun 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 40 13 0 11 Jun 2022
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling Jihang Wang Dongcheng Zhao Guobin Shen Qian Zhang Yingda Zeng 40 2 0 24 May 2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation Tobias Bernecker Annette Peters C. Schlett F. Bamberg Fabian J. Theis Daniel Rueckert J. Weiss Shadi Albarqouni FedML MedIm 37 20 0 23 May 2022
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting Thomas Borger P. Mosteiro Heysem Kaya Emil Rijcken A. A. Salah Floortje E. Scheepers Marco Spruit FedML 24 23 0 17 May 2022
$Privacy accounting $\varepsilon$conomics: Improving differential privacy composition via a posteriori bounds$ Privacy accounting $\varepsilon$ conomics: Improving differential privacy composition via a posteriori bounds Valentin Hartmann Vincent Bindschaedler Alexander Bentkamp Robert West 29 1 0 06 May 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data Joceline Ziegler Bjarne Pfitzner H. Schulz A. Saalbach B. Arnrich FedML 30 14 0 06 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 43 49 0 04 May 2022
Reward Systems for Trustworthy Medical Federated Learning Konstantin D. Pandl Florian Leiser Scott Thiebes Ali Sunyaev OOD FedML 26 7 0 01 May 2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling Kiyoon Yoo Nojun Kwak SILM AAML FedML 30 19 0 29 Apr 2022