Privacy-preserving Federated Learning based on Multi-key Homomorphic
Encryption

Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption

14 April 2021

Papers citing "Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption"

14 / 14 papers shown

Title
SONNI: Secure Oblivious Neural Network Inference Luke Sperling S. Kulkarni 24 0 0 26 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
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Zhen Cai Tao Tang Shuo Yu Yunpeng Xiao Feng Xia 40 1 0 07 Jun 2024
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 37 0 0 17 Dec 2023
LISA: LIghtweight single-server Secure Aggregation with a public source of randomness Elina van Kempen Qifei Li G. Marson Claudio Soriente 23 5 0 04 Aug 2023
Mitigating Cross-client GANs-based Attack in Federated Learning Hong Huang Xinyu Lei Tao Xiang AAML 45 1 0 25 Jul 2023
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users Y. Rahulamathavan Charuka Herath Xiaolan Liu S. Lambotharan Carsten Maple 25 12 0 08 Jun 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 15 2 0 15 May 2023
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges Chuan Chen Yuecheng Li Zhenpeng Wu Chengyuan Mai Youming Liu Yanming Hu Zibin Zheng Jiawen Kang 45 16 0 23 Apr 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 41 10 0 03 Feb 2023
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 35 6 0 07 Dec 2022
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring Wenyuan Yang Shuo Shao Yue Yang Xiyao Liu Ximeng Liu Zhihua Xia Gerald Schaefer Hui Fang FedML 14 21 0 14 Nov 2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Hua Ma Qun Li Yifeng Zheng Zhi Zhang Xiaoning Liu Yan Gao S. Al-Sarawi Derek Abbott FedML 26 3 0 19 Jul 2022
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 24 100 0 10 Aug 2021