Experienced Deep Reinforcement Learning With Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

Predictive Deployment of UAV Base Stations in Wireless Networks: Machine Learning Meets Contract Theory

A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

Reinforcement Learning Meets Wireless Networks: A Layering Perspective

Local Augment: Utilizing Local Bias Property of Convolutional Neural Networks for Data Augmentation

Wireless Communications for Collaborative Federated Learning

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level"

Multimodal facial biometrics recognition: Dual-stream convolutional neural networks with multi-feature fusion layers

Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues

Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach

A Crowdsourcing Framework for On-Device Federated Learning

Object Recognition Based Interpolation With 3D LIDAR and Vision for Autonomous Driving of an Intelligent Vehicle

Korean Part-of-speech Tagging Based on Morpheme Generation