A systematic review of federated learning applications for ...

A Systematic Review of Federated Learning in the Healthcare Area

However, pooling the medical data into centralized storage to train a robust deep learning model faces privacy, ownership, and strict regulation challenges.

[PDF] A Systematic Literature Review on Federated Learning

This paper systematically reviews and objectively analyzes the approaches to improving the quality of Federated Learning models, ...

A Systematic Literature Review on Federated Learning - GoatStack.AI

The paper “A Systematic Literature Review on Federated Learning: From A Model Quality Perspective” provides an extensive analysis of how Federated Learning ...

A Comprehensive Survey on Federated Learning in the Healthcare ...

This research conducts a systematic evaluation and highlights essential issues for the selection and implementation of federated learning approaches in ...

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

A systematic review of federated learning: Challenges, aggregation methods, and development tools · List of references · Publications that cite this publication.

A review of applications in federated learning - [2020] - S-Logix

Federated Learning (FL) is a collaboratively decentralized privacy-preserving technology to overcome challenges of data silos and data sensibility. Exactly what ...

A Systematic Review of Federated Learning Mechanism For ... - Scribd

Federated Learning (FL) offers a compelling solution ... stringent privacy&security standards. Our framework aims to techniques for improved model generalisation.

Federated machine learning in healthcare: A systematic review on ...

By conducting a systematic review of FL applications in healthcare, we identify relevant articles in scientific, engineering, and medical journals in English up ...

A Systematic Review of Federated Generative Models - AIModels.fyi

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 applications for ... - Altmetric

RT @MITCriticalData: It's hard enough to prevent algorithmic bias when one can see all the data. It'll be impossible to detect and mitigate…

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

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

Federated machine learning in healthcare: a systematic review on ...

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

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

A systematic review of federated learning: Challenges, aggregation methods, and development tools ... federated learning, including communication overhead, device ...

A systematic survey on the application of federated learning in ...

The included studies were evaluated based on publication year, task, dataset characteristics, federated learning algorithms, and personalization ...

Federated Learning on Internet of Things: Extensive and Systematic ...

Finally, we performed a comparative analysis with FL IID (independent and identical data) and non-ID, traditional centralized deep learning (DL) approaches. We ...

Journal articles: 'Federated learning applications' - Grafiati

Furthermore, the data used to train these algorithms are often distributed over a large group of end devices. Federated learning can be applied ...

A systematic review of federated learning from clients' perspective

Although FL helps users have control over their data, there are many challenges arising from decentralization, specifically from the perspectives of clients who ...

Federated Learning - Consensus Academic Search Engine

These studies suggest that federated learning is an emerging paradigm that enhances machine learning by combining local and global model training, ...

Differentially Private Federated Learning: A Systematic Review

... federated learning environments. Furthermore, we explore the applications of differential privacy in federated learning scenarios. Our work provide valuable ...

Federated Learning Applications and Its Working | 2023 - XenonStack

Federated learning (FL) is a machine learning method that enables machine learning models to train on different datasets located on different sites without ...