Semantic Scholar Open Access 2020 1346 sitasi

A review of applications in federated learning

Li Li Yuxi Fan M. Tse Kuo-Yi Lin

Lihat Sumber DOI

Abstrak

Abstract Federated Learning (FL) is a collaboratively decentralized privacy-preserving technology to overcome challenges of data silos and data sensibility. Exactly what research is carrying the research momentum forward is a question of interest to research communities as well as industrial engineering. This study reviews FL and explores the main evolution path for issues exist in FL development process to advance the understanding of FL. This study aims to review prevailing application in industrial engineering to guide for the future landing application. This study also identifies six research fronts to address FL literature and help advance our understanding of FL for future optimization. This study contributes to conclude application in industrial engineering and computer science and summarize a review of applications in FL.

Topik & Kata Kunci

Computer Science Engineering

Penulis (4)

Li Li

Yuxi Fan

M. Tse

Kuo-Yi Lin

Format Sitasi

APA MLA BibTeX

Li, L., Fan, Y., Tse, M., Lin, K. (2020). A review of applications in federated learning. https://doi.org/10.1016/J.CIE.2020.106854

Akses Cepat

Lihat di Sumber doi.org/10.1016/J.CIE.2020.106854

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 1346×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.CIE.2020.106854
Akses: Open Access ✓