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2103.12010
Cited By
Federated Quantum Machine Learning
22 March 2021
Samuel Yen-Chi Chen
Shinjae Yoo
FedML
AI4CE
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Papers citing
"Federated Quantum Machine Learning"
50 / 56 papers shown
Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
Junghoon Justin Park
Jiook Cha
Samuel Yen-Chi Chen
H. Tseng
Shinjae Yoo
29
0
0
13 May 2025
Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing
Kuan-Cheng Chen
Chen-Yu Liu
Yu Shang
Felix Burt
Kin K Leung
39
0
0
13 May 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence
Edward Collins
Michel Wang
FedML
31
0
0
24 Apr 2025
Introduction to Quantum Machine Learning and Quantum Architecture Search
Samuel Yen-Chi Chen
Zhiding Liang
28
0
0
21 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
Georgios Papadopoulos
Shaltiel Eloul
Yash Satsangi
Jamie Heredge
Niraj Kumar
Chun-Fu Chen
Marco Pistoia
51
0
0
17 Apr 2025
QFAL: Quantum Federated Adversarial Learning
Walid El Maouaki
Nouhaila Innan
Alberto Marchisio
Taoufik Said
Mohamed Bennai
Muhammad Shafique
FedML
55
4
0
28 Feb 2025
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
78
0
0
23 Nov 2024
Quantum delegated and federated learning via quantum homomorphic encryption
Weikang Li
Dong-Ling Deng
FedML
23
0
0
28 Sep 2024
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
Siddhant Dutta
Pavana P Karanth
Pedro Maciel Xavier
Iago Leal de Freitas
Nouhaila Innan
Sadok Ben Yahia
Muhammad Shafique
David E. Bernal Neira
FedML
38
7
0
14 Sep 2024
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition
Kuan-Cheng Chen
Wenxuan Ma
Xiaotian Xu
38
7
0
09 Sep 2024
Verifiable cloud-based variational quantum algorithms
Junhong Yang
Banghai Wang
Junyu Quan
Qin Li
13
1
0
25 Aug 2024
Prospects of Privacy Advantage in Quantum Machine Learning
Jamie Heredge
Niraj Kumar
Dylan Herman
Shouvanik Chakrabarti
Romina Yalovetzky
Shree Hari Sureshbabu
Changhao Li
Marco Pistoia
26
4
0
14 May 2024
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare
A. Bhatia
David E. Bernal Neira
FedML
39
7
0
13 May 2024
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
Nouhaila Innan
Alberto Marchisio
Muhammad Shafique
Mohamed Bennai
26
11
0
03 Apr 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
Federated learning with distributed fixed design quantum chips and quantum channels
Ammar Daskin
FedML
15
0
0
24 Jan 2024
Federated Quantum Long Short-term Memory (FedQLSTM)
Mahdi Chehimi
Samuel Yen-Chi Chen
Walid Saad
Shinjae Yoo
FedML
29
16
0
21 Dec 2023
Privacy-preserving quantum federated learning via gradient hiding
Changhao Li
Niraj Kumar
Zhixin Song
Shouvanik Chakrabarti
Marco Pistoia
FedML
22
19
0
07 Dec 2023
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations
Elaheh Jafarigol
Theodore Trafalis
Talayeh Razzaghi
Mona Zamankhani
FedML
14
1
0
17 Nov 2023
Quantum Federated Learning With Quantum Networks
Tyler Wang
Huan-Hsin Tseng
Shinjae Yoo
24
6
0
23 Oct 2023
Federated Quantum Machine Learning with Differential Privacy
Rod Rofougaran
Shinjae Yoo
Huan-Hsin Tseng
Samuel Yen-Chi Chen
FedML
23
20
0
10 Oct 2023
Expressive variational quantum circuits provide inherent privacy in federated learning
Niraj Kumar
Jamie Heredge
Changhao Li
Shaltiel Eloul
Shree Hari Sureshbabu
Marco Pistoia
FedML
56
8
0
22 Sep 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
20
23
0
03 Jul 2023
Quantum Federated Learning: Analysis, Design and Implementation Challenges
Devya Gurung
Shiva Raj Pokhrel
Gang Li
FedML
13
3
0
27 Jun 2023
Towards Quantum Federated Learning
Chao Ren
Han Yu
Rudai Yan
Minrui Xu
Yuan Shen
Huihui Zhu
Dusit Niyato
Zhaoyang Dong
L. Kwek
FedML
AI4CE
41
19
0
16 Jun 2023
Quantum deep Q learning with distributed prioritized experience replay
Samuel Yen-Chi Chen
BDL
23
6
0
19 Apr 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent
Jun Qi
Xiaolin Zhang
Javier Tejedor
FedML
21
8
0
27 Feb 2023
Asynchronous training of quantum reinforcement learning
Samuel Yen-Chi Chen
OffRL
24
18
0
12 Jan 2023
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding
Won Joon Yun
Jae Pyoung Kim
Hankyul Baek
Soyi Jung
Jihong Park
M. Bennis
Joongheon Kim
19
4
0
04 Dec 2022
An Invitation to Distributed Quantum Neural Networks
Lirande Pira
C. Ferrie
17
16
0
14 Nov 2022
Quantum Split Neural Network Learning using Cross-Channel Pooling
Won Joon Yun
Hankyul Baek
Joongheon Kim
26
4
0
12 Nov 2022
Reservoir Computing via Quantum Recurrent Neural Networks
Samuel Yen-Chi Chen
D. Fry
Amol Deshmukh
V. Rastunkov
Charlee Stefanski
21
16
0
04 Nov 2022
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification
Won Joon Yun
Hankyul Baek
Joongheon Kim
VLM
20
11
0
30 Oct 2022
Quantum deep recurrent reinforcement learning
Samuel Yen-Chi Chen
50
17
0
26 Oct 2022
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition
Chao-Han Huck Yang
I-Fan Chen
A. Stolcke
Sabato Marco Siniscalchi
Chin-Hui Lee
22
2
0
11 Oct 2022
PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection
Shuyue Stella Li
Xiangyu Zhang
Shu Zhou
Hongchao Shu
Ruixing Liang
Hexin Liu
Leibny Paola García
40
22
0
06 Oct 2022
Non-IID Quantum Federated Learning with One-shot Communication Complexity
Haimeng Zhao
FedML
13
16
0
02 Sep 2022
Federated Quantum Natural Gradient Descent for Quantum Federated Learning
Jun Qi
FedML
17
16
0
15 Aug 2022
Scalable Quantum Neural Networks for Classification
Jindi Wu
Zeyi Tao
Qun Li
GNN
22
17
0
04 Aug 2022
Slimmable Quantum Federated Learning
Won Joon Yun
Jae Pyoung Kim
Soyi Jung
Jihong Park
M. Bennis
Joongheon Kim
15
27
0
20 Jul 2022
Federated Learning with Quantum Secure Aggregation
Yichi Zhang
Chao Zhang
Cai Zhang
Lixin Fan
B. Zeng
Qiang Yang
FedML
11
23
0
09 Jul 2022
Quantum Neural Network Classifiers: A Tutorial
Weikang Li
Zhide Lu
D. Deng
11
32
0
06 Jun 2022
Quantum version of the k-NN classifier based on a quantum sorting algorithm
L. F. Quezada
Guo-Hua Sun
S. Dong
11
11
0
07 Apr 2022
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
47
41
0
19 Feb 2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
Chao-Han Huck Yang
Jun Qi
Samuel Yen-Chi Chen
Yu Tsao
Pin-Yu Chen
14
51
0
17 Feb 2022
Systematic Literature Review: Quantum Machine Learning and its applications
David Peral García
Juan Cruz-Benito
Francisco José García-Penalvo
30
119
0
11 Jan 2022
Quantum Architecture Search via Continual Reinforcement Learning
Esther Ye
Samuel Yen-Chi Chen
8
27
0
10 Dec 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Samuel Yen-Chi Chen
Chih-Min Huang
Chia-Wei Hsing
H. Goan
Y. Kao
32
81
0
01 Sep 2021
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
Annie E. Paine
V. Elfving
Oleksandr Kyriienko
27
22
0
06 Aug 2021
Quantum Federated Learning with Quantum Data
Mahdi Chehimi
Walid Saad
FedML
19
70
0
30 May 2021
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