Efficient Federated Learning with Spike Neural Networks for Traffic Sign
Recognition

Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition

28 May 2022

Dusit Niyato

Papers citing "Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition"

6 / 6 papers shown

Title
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning Manh V. Nguyen Liang Zhao Bobin Deng William M. Severa Honghui Xu Shaoen Wu FedML 32 0 0 19 Sep 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur Soumaya Cherkaoui 45 3 0 05 Jun 2024
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems Rui Song Runsheng Xu Andreas Festag Jiaqi Ma Alois Knoll FedML 31 25 0 04 Apr 2023
Communication Trade-offs in Federated Learning of Spiking Neural Networks Soumi Chaki David Weinberg Ayça Özçelikkale FedML 32 1 0 27 Feb 2023
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State Mingqing Xiao Qingyan Meng Zongpeng Zhang Yisen Wang Zhouchen Lin 111 60 0 29 Sep 2021