Quantum Federated Learning
Quantum Federated Learning is a distributed quantum machine learning framework that enables multiple participants to collaboratively train a shared quantum model without exchanging local quantum data, preserving data privacy through quantum information processing.
20
Publications
1.1K
Citations
80
Authors
41
Institutions
Publications per year
2017–2026
20
Parents
20
Federated Quantum Machine Learning
Samuel Yen-Chi Chen · MDPI (MDPI AG) · 2021 · 167 citations · Full text
A quantum federated learning framework for classical clients
Yanqi Song, Yusen Wu, Shengyao Wu et al. · Science China Physics Mechanics and Astronomy · 2024 · 96 citations
Computing, Computer Science, Physics +12
1–5 of 20
80
4
h-index
2
h-index
2
h-index
2
h-index
Georgia Institute of Technology, United States
2 publications · 174 citations
2
h-index
1–5 of 80
41

Brookhaven National Laboratory
Upton, United States
4 h-index
4 publications
391 citations
Tsinghua University
Beijing, China
2 h-index
4 publications
351 citations
Williams (United States)
Tulsa, United States
2 h-index
5 publications
147 citations
William & Mary
Williamsburg, United States
2 h-index
5 publications
147 citations
IBM (United States)
Armonk, United States
2 h-index
2 publications
174 citations
Virginia Tech
Blacksburg, United States
2 h-index
4 publications
288 citations
NTNU Samfunnsforskning
Trondheim, Norway
2 h-index
2 publications
174 citations

Università degli Studi di Enna Kore
Enna, Italy
2 h-index
2 publications
174 citations
1–8 of 41
Repository · 3 publications · 185 citations
3
h-index
2 publications · 202 citations
2
h-index
Conference · 1 publications · 42 citations
1
h-index
Conference · 1 publications · 21 citations
1
h-index
1 publications · 68 citations
1
h-index
1–5