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We tackle this research gap by conducting a structured literature review and analyzing 152 articles to develop a taxonomy of federated learning applications.
Mar 30, 2023 · We tackle this research gap by conducting a structured literature review and analyzing 152 articles to develop a taxonomy of federated learning ...
Structuring Federated Learning Applications : A Literature Analysis ...
eref.uni-bayreuth.de › eprint
May 11, 2023 · Structuring Federated Learning Applications : A Literature Analysis and Taxonomy. Titelangaben. Karnebogen, Philip ; Kaymakci, Can ...
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Feb 18, 2022 · The systematic literature synthesizes and compares the algorithms, models, and frameworks of federated learning. Additionally, we have presented ...
The key focus of the paper is to produce a systematic literature review of recent research studies that clearly describes the adoption of FL in edge networks.
Oct 15, 2024 · This review paper provides a comprehensive overview of federated learning, including its principles, strategies, applications, and tools along ...
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May 19, 2022 · We conducted a systematic review to evaluate the current state of FL in healthcare and discuss the limitations and promise of this technology.
Abstract—Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry ...
A comprehensive review on Federated Learning for Data ...
www.sciencedirect.com › article › abs › pii
In this paper, we deeply analyze the role of FL in DSA and provide a taxonomy for the studies and implementations of FL.
Missing: literature | Show results with:literature
Sep 4, 2024 · In this paper, we explore the present and future of FL technology in medical applications where data sharing is a significant challenge.