Quantum federated learning through blind quantum computing

15 March 2021

Papers citing "Quantum federated learning through blind quantum computing"

34 / 34 papers shown

Title
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
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference Jing Xiong Jianghan Shen Fanghua Ye Chaofan Tao Zhongwei Wan ... Xun Wu Chuanyang Zheng Zhijiang Guo Lingpeng Kong Ngai Wong 27 3 0 04 Oct 2024
Personalized Quantum Federated Learning for Privacy Image Classification Jinjing Shi Tian Chen Shichao Zhang Xuelong Li FedML 33 0 0 03 Oct 2024
Quantum delegated and federated learning via quantum homomorphic encryption Weikang Li Dong-Ling Deng FedML 23 0 0 28 Sep 2024
Verifiable cloud-based variational quantum algorithms Junhong Yang Banghai Wang Junyu Quan Qin Li 13 1 0 25 Aug 2024
Full private delegated quantum computing tailored from user to industry Alejandro Mata Ali Adriano Mauricio Lusso Edgar Mencia 21 0 0 19 May 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
Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy Yusheng Zhao Hui Zhong Xinyue Zhang Yuqing Li Chi Zhang Miao Pan 31 3 0 14 Mar 2024
Federated learning with distributed fixed design quantum chips and quantum channels Ammar Daskin FedML 15 0 0 24 Jan 2024
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
Quantum Federated Learning With Quantum Networks Tyler Wang Huan-Hsin Tseng Shinjae Yoo 24 6 0 23 Oct 2023
Blind quantum machine learning with quantum bipartite correlator Changhao Li Boning Li Omar Amer Ruslan Shaydulin Shouvanik Chakrabarti ... Niraj Kumar Charles Lim Ju Li Paola Cappellaro Marco Pistoia 28 4 0 19 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
A unifying framework for differentially private quantum algorithms Armando Angrisani Mina Doosti E. Kashefi FedML 25 9 0 10 Jul 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
Delegated variational quantum algorithms based on quantum homomorphic encryption Qin Li Junyu Quan Jinjing Shi Shenmin Zhang Xuelong Li 16 2 0 25 Jan 2023
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 19 19 0 05 Dec 2022
Quantum Split Neural Network Learning using Cross-Channel Pooling Won Joon Yun Hankyul Baek Joongheon Kim 28 4 0 12 Nov 2022
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction Yan Qian Yuxuan Du Dacheng Tao 31 3 0 26 Sep 2022
Non-IID Quantum Federated Learning with One-shot Communication Complexity Haimeng Zhao FedML 13 16 0 02 Sep 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
High Dimensional Quantum Machine Learning With Small Quantum Computers Simon Marshall Casper Gyurik Vedran Dunjko 13 28 0 25 Mar 2022
Quantum Differential Privacy: An Information Theory Perspective C. Hirche Cambyse Rouzé Daniel Stilck França 30 60 0 22 Feb 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
Quantum Capsule Networks Zidu Liu Pei-Xin Shen Weikang Li L. Duan D. Deng GNN 40 18 0 05 Jan 2022
Recent advances for quantum classifiers Weikang Li D. Deng AAML 31 84 0 30 Aug 2021