Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition

Secure and Reliable Transfer Learning Framework for 6G-Enabled Internet of Vehicles

(2022) Minrui Xu et al.   IEEE WIRELESS COMMUNICATIONS

FedParking: A Federated Learning Based Parking Space Estimation With Parked Vehicle Assisted Edge Computing

(2021) Xumin Huang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT

(2021) Weiting Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Adaptive Computing Scheduling for Edge-Assisted Autonomous Driving

(2021) Mushu Li et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Vehicle Artificial Intelligence System Based on Intelligent Image Analysis and 5G Network

(2021) Baojing Liu et al.   International Journal of Wireless Information Networks

Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach

(2021) Weiting Zhang et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

GAN and Multi-Agent DRL Based Decentralized Traffic Light Signal Control

(2021) Zixin Wang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch

(2021) Youngeun Kim et al.   Frontiers in Neuroscience

FedVCP: A Federated-Learning-Based Cooperative Positioning Scheme for Social Internet of Vehicles

(2021) Xiangjie Kong et al.   IEEE Transactions on Computational Social Systems

Temporal Coding in Spiking Neural Networks With Alpha Synaptic Function: Learning With Backpropagation

(2021) Iulia-Maria Comsa et al.   IEEE Transactions on Neural Networks and Learning Systems

Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles

(2020) Yunlong Lu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Reliable Federated Learning for Mobile Networks

(2020) Jiawen Kang et al.   IEEE WIRELESS COMMUNICATIONS

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

(2020) Yi Liu et al.   IEEE Internet of Things Journal

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

(2019) Abhronil Sengupta et al.   Frontiers in Neuroscience

A Novel Genetically Optimized Convolutional Neural Network for Traffic Sign Recognition: A New Benchmark on Belgium and Chinese Traffic Sign Datasets

(2019) Arpan Jain et al.   NEURAL PROCESSING LETTERS

Spiking Neural Networks Hardware Implementations and Challenges

(2019) Maxence Bouvier et al.   ACM Journal on Emerging Technologies in Computing Systems

Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle

(2019) Zhenshan Bing et al.   NEURAL NETWORKS

Towards spike-based machine intelligence with neuromorphic computing

(2019) Kaushik Roy et al.   NATURE

Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics

(2019) Yunlong Lu et al.   IEEE Transactions on Industrial Informatics

Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

(2019) Fengxiao Tang et al.   PROCEEDINGS OF THE IEEE

Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory

(2019) Jiawen Kang et al.   IEEE Internet of Things Journal

Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

(2019) Domen Tabernik et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Secure SVM Training Over Vertically-Partitioned Datasets Using Consortium Blockchain for Vehicular Social Networks

(2019) Meng Shen et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Deep detection network for real-life traffic sign in vehicular networks

(2018) Tingting Yang et al.   Computer Networks

STDP-based spiking deep convolutional neural networks for object recognition

(2018) Saeed Reza Kheradpisheh et al.   NEURAL NETWORKS

Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

(2018) Álvaro Arcos-García et al.   NEURAL NETWORKS

Deep Learning With Spiking Neurons: Opportunities and Challenges

(2018) Michael Pfeiffer et al.   Frontiers in Neuroscience

Heterogeneous Cellular Networks With Spatio-Temporal Traffic: Delay Analysis and Scheduling

(2017) Yi Zhong et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks

(2016) Rong Yu et al.   IEEE Transactions on Dependable and Secure Computing

Spatial Spectrum and Energy Efficiency of Random Cellular Networks

(2015) Xiaohu Ge et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Unsupervised learning of digit recognition using spike-timing-dependent plasticity

(2015) Peter U. Diehl et al.   Frontiers in Computational Neuroscience