Collaborative and privacy-preserving cross-vendor united diagnostic imaging via server-rotating federated machine learning

Collaborative and privacy-preserving cross-vendor united diagnostic imaging via server-rotating federated machine learning

Abstract Federated Learning (FL) is a distributed framework that enables collaborative training of a server model across medical data vendors while preserving data privacy. However, conventional FL faces two key challenges: substantial data heterogeneity among vendors and limited flexibility from a...

Full description

Saved in:

Bibliographic Details
Main Authors:	Hao Wang, Xiaoyu Zhang, Xuebin Ren, Zheng Zhang, Shusen Yang, Chunfeng Lian, Jianhua Ma, Dong Zeng
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-08-01
Series:	Communications Engineering
Online Access:	https://doi.org/10.1038/s44172-025-00485-4
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Privacy-preserving federated learning for collaborative medical data mining in multi-institutional settings
by: Rahul Haripriya, et al.
Published: (2025-04-01)

GuardianAI: Privacy-preserving federated anomaly detection with differential privacy
by: Abdulatif Alabdulatif
Published: (2025-07-01)

A privacy-preserving federated learning framework
by: Yang Dongning, et al.
Published: (2022-05-01)

Privacy-Preserving Federated Class-Incremental Learning
by: Jue Xiao, et al.
Published: (2024-01-01)

Privacy-preserving federated learning framework with dynamic weight aggregation
by: Zuobin YING, et al.
Published: (2022-10-01)

Federated Learning for Cybersecurity: A Privacy-Preserving Approach
by: Edi Marian Timofte, et al.
Published: (2025-06-01)

Federated Learning for Privacy-Preserving Employee Performance Analytics
by: Jay Barach
Published: (2025-01-01)

Privacy preserving federated learning with convolutional variational bottlenecks
by: Daniel Scheliga, et al.
Published: (2025-05-01)

Quantization-based chained privacy-preserving federated learning
by: Ya Liu, et al.
Published: (2025-05-01)

Federated learning with joint server-client momentum
by: Boyuan Li, et al.
Published: (2025-05-01)

Towards fairness-aware and privacy-preserving enhanced collaborative learning for healthcare
by: Feilong Zhang, et al.
Published: (2025-03-01)

Towards edge-collaborative, lightweight and privacy-preserving classification framework
by: Jinbo XIONG, et al.
Published: (2022-01-01)

A Privacy-Preserving and Edge-Collaborating Architecture for Personalized Mobility
by: Weitao Jian, et al.
Published: (2023-01-01)

BPS-FL: Blockchain-Based Privacy-Preserving and Secure Federated Learning
by: Jianping Yu, et al.
Published: (2025-02-01)

A Novel Approach for Differential Privacy-Preserving Federated Learning
by: Anis Elgabli, et al.
Published: (2025-01-01)

Phase-Adaptive Federated Learning for Privacy-Preserving Personalized Travel Itinerary Generation
by: Xiaolong Chen, et al.
Published: (2025-06-01)

Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study
by: Yi Xie, et al.
Published: (2025-07-01)

DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data
by: Yang Zhang, et al.
Published: (2025-01-01)

Enhanced Privacy-Preserving Architecture for Fundus Disease Diagnosis with Federated Learning
by: Raymond Jiang, et al.
Published: (2025-03-01)

Blockchain-based privacy-preserving multi-tasks federated learning framework
by: Yunyan Jia, et al.
Published: (2024-12-01)

Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory
by: Naoki Masuyama, et al.
Published: (2024-01-01)

Privacy-preserving recommender system using the data collaboration analysis for distributed datasets.
by: Tomoya Yanagi, et al.
Published: (2025-01-01)

Efficient federated graph aggregation for privacy-preserving GNN-based session recommendation
by: Jing Lou, et al.
Published: (2025-07-01)

A robust and personalized privacy-preserving approach for adaptive clustered federated distillation
by: Mai Shawkat, et al.
Published: (2025-04-01)

Privacy-Preserving Diabetes and Heart Disease Prediction via Federated Learning and WCO
by: Sachikanta Dash, et al.
Published: (2025-08-01)

Federated learning for intrusion detection in IoT environments: a privacy-preserving strategy
by: Ansam Khraisat, et al.
Published: (2025-06-01)

A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework
by: Washington Enyinna Mbonu, et al.
Published: (2025-03-01)

Federated learning: a privacy-preserving approach to data-centric regulatory cooperation
by: Alexander Horst, et al.
Published: (2025-05-01)

Privacy-Preserving SGD on Shuffle Model
by: Lingjie Zhang, et al.
Published: (2023-01-01)

Privacy preserving approach based on proximity privacy for numerical sensitive attributes
by: Jing XIE, et al.
Published: (2015-04-01)

Privacy preserving approach based on proximity privacy for numerical sensitive attributes
by: Jing XIE, et al.
Published: (2015-04-01)

Federated learning for digital twin applications: a privacy-preserving and low-latency approach
by: Jie Li, et al.
Published: (2025-08-01)

An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data
by: Tanisha Bhardwaj, et al.
Published: (2025-07-01)

LSTM-JSO framework for privacy preserving adaptive intrusion detection in federated IoT networks
by: Shaymaa E. Sorour, et al.
Published: (2025-04-01)

Federated Learning for Distributed IoT Security: A Privacy-Preserving Approach to Intrusion Detection
by: Chandu Gutti, et al.
Published: (2025-01-01)

Research on privacy-preserving learning machines
by: Yi-zhang JIANG, et al.
Published: (2016-06-01)

A Collaborative Framework for Privacy Preserving Fuzzy Co-Clustering of Vertically Distributed Cooccurrence Matrices
by: Katsuhiro Honda, et al.
Published: (2015-01-01)

Decentralized Voltage Prediction in Multi-Area Distribution Systems: A Privacy-Preserving Collaborative Framework
by: Jianfeng Yan, et al.
Published: (2025-01-01)

Privacy-Diffusion: Privacy-Preserving Stable Diffusion Without FHE and Differential Privacy
by: Po-Chu Hsu, et al.
Published: (2025-01-01)

Study on privacy preserving encrypted traffic detection
by: Xinyu ZHANG, et al.
Published: (2021-08-01)