A systematic review of federated learning applications for ...

A systematic review of federated learning applications for ... - PubMed

Federated learning is a growing field in machine learning with many promising uses in healthcare. Few studies have been published to date.

A systematic review of federated learning applications for ... - PLOS

We found that federated learning links research teams around the world and has been applied to modelling in such as oncology and radiology.

A systematic review of federated learning applications for ... - NCBI

Federated learning approach, topologies, and reproducibility of included studies. Workflow, topologies and computing plan classification adapted from Rieke et ...

(PDF) A systematic review of federated learning applications for ...

We conducted a systematic review to evaluate the current state of FL in healthcare and discuss the limitations and promise of this technology.

A systematic review of federated learning: Challenges, aggregation ...

This survey paper offers an exhaustive and systematic review of federated learning, emphasizing its categories, challenges, aggregation techniques, and ...

A Systematic Literature Review on the Use of Federated Learning ...

Federated learning is a machine learning approach that allows for training models across multiple decentralized devices or servers while keeping the data ...

A systematic review on clinical applications and technical architecture

Federated learning (FL) is a distributed machine learning framework that is gaining traction in view of increasing health data privacy protection needs.

A systematic review of federated learning from clients' perspective

Federated learning (FL) is a machine learning approach that decentralizes data and its processing by allowing clients to train intermediate ...

A Systematic Review of Federated Learning in the Healthcare Area

Federated learning resolves the previous challenges with a shared global deep learning model using a central aggregator server. At the same time, patient data ...

[2012.01973] A Systematic Literature Review on Federated Learning

Abstract:As an emerging technique, Federated Learning (FL) can jointly train a global model with the data remaining locally, ...

A Systematic Review on Federated Learning in Medical Image ...

Abstract: Federated Learning (FL) obtained a lot of attention to the academic and industrial stakeholders from the beginning of its ...

A systematic review of federated learning: : Challenges, aggregation ...

This survey paper offers an exhaustive and systematic review of federated learning, emphasizing its categories, challenges, aggregation techniques, and ...

(PDF) A systematic review of federated learning from clients ...

Federated learning (FL) is a machine learning approach that decentralizes data and its processing by allowing clients to train intermediate ...

A Systematic Review of Federated Generative Models - arXiv

Federated Learning (FL) has emerged as a solution for distributed systems that allow clients to train models on their data and only share ...

A Systematic Review of Federated Learning in the Healthcare Area

This work is the first to apply modern and general federated learning methods that explicitly incorporate differential privacy to clinical and ...

Federated Learning for Healthcare: Systematic Review and ...

In this context, federated learning (FL) is a methodology that enables the distributed training of machine learning models with remotely hosted datasets without ...

Federated Learning for Healthcare: Systematic Review and ...

A systematic literature review on current research about federated learning in the context of EHR data for healthcare applications and discusses a general ...

A Systematic Review on Federated Learning in Medical Image ...

We believe this SLR has successfully summarized the state-of-the-art FL methods for medical image analysis using deep learning. INDEX TERMS ...

Federated Learning for Healthcare: Systematic Review and ... - CRIS

In this context, federated learning (FL) is a methodology that enables the distributed training of machine learning models with remotely hosted datasets without ...

Fundamentals, enabling technologies, and future applications - Reddit

[Article] Federated learning review: Fundamentals, enabling technologies, and future applications ... analysis and systematic literature review.