Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems

9 January 2021

Papers citing "Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems"

6 / 6 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
Principles and Components of Federated Learning Architectures S. Saif Md Abdullah Al Nasim Parag Biswas Abdur Rashid Md. Mahim Anjum Haque Md. Zihad Bin Jahangir Kishor Datta Gupta FedML 47 1 0 07 Feb 2025
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 14 73 0 21 Aug 2023
Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification Shuai Wang Chengyang Li Derrick Wing Kwan Ng Yonina C. Eldar H. Vincent Poor Qi Hao Chengzhong Xu FedML 11 57 0 03 Jun 2022
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator I. Donevski J. J. Nielsen P. Popovski 19 7 0 05 Aug 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 130 1,663 0 14 Apr 2018