VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT

27 July 2020

Papers citing "VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT"

6 / 6 papers shown

Title
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models Kuofeng Gao Yufei Zhu Yiming Li Jiawang Bai Yong-Liang Yang Zerui Li Shu-Tao Xia 41 0 0 05 May 2025
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 50 0 0 17 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 41 7 0 07 Dec 2023
Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning Elizabeth Salesky Susanne Burger Jan Niehues Huansheng Ning FedML 11 0 0 25 Jul 2023
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions Thippa Reddy Gadekallu Viet Quoc Pham Thien Huynh-The S. Bhattacharya Praveen Kumar Reddy Maddikunta Madhusanka Liyanage FedML AI4CE 50 39 0 08 Oct 2021
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing Truong Thu Huong Ta Phuong Bac D. M. Long B. D. Thang N. T. Binh T. D. Luong Tran Kim Phuc 31 43 0 28 Nov 2020