Towards Quantum Federated Learning

Towards Quantum Federated Learning

16 June 2023

Dusit Niyato

Papers citing "Towards Quantum Federated Learning"

6 / 6 papers shown

Title
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 71 0 0 23 Nov 2024
FedQNN: Federated Learning using Quantum Neural Networks Nouhaila Innan Muhammad Al-Zafar Khan Alberto Marchisio Muhammad Shafique Mohamed Bennai FedML 32 12 0 16 Mar 2024
Privacy-preserving quantum federated learning via gradient hiding Changhao Li Niraj Kumar Zhixin Song Shouvanik Chakrabarti Marco Pistoia FedML 15 19 0 07 Dec 2023
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications Yunseok Kwak Won Joon Yun Jae Pyoung Kim Hyunhee Cho Minseok Choi Soyi Jung Joongheon Kim 42 41 0 19 Feb 2022
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 206 840 0 01 Mar 2021
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018