research
∙
07/13/2022
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations
It is known that deep neural networks (DNNs) classify an input image by ...
share
research
∙
12/17/2021
Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks
The distributed inference (DI) framework has gained traction as a techni...
research
∙
10/29/2021
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing
With regard to the implementation of WiFi sensing agnostic according to ...
research
∙
10/27/2021
Beamforming Feedback-based Model-driven Angle of Departure Estimation Toward Firmware-Agnostic WiFi Sensing
This paper proves that the angle of departure (AoD) estimation using the...
research
∙
07/10/2021
Computer Vision-assisted Single-antenna and Single-anchor RSSI Localization Harnessing Dynamic Blockage Events
This paper demonstrates the feasibility of single-antenna and single-RF ...
research
∙
04/28/2021
Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks
The distributed inference framework is an emerging technology for real-t...
research
∙
04/01/2021
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
This paper proposes a decentralized FL scheme for IoE devices connected ...
research
∙
02/16/2021
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires through Robust Adversarial Reinforcement Learning
This paper discusses the opportunity of bringing the concept of zero-sho...
research
∙
12/02/2020
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking
This paper discusses the feasibility of beam tracking against dynamics i...
research
∙
09/29/2020
MAB-based Client Selection for Federated Learning with Uncertain Resources in Mobile Networks
This paper proposes a client selection method for federated learning (FL...
research
∙
09/29/2020
Online Trainable Wireless Link Quality Prediction System using Camera Imagery
Machine-learning-based prediction of future wireless link quality is an ...
research
∙
08/14/2020
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
This study develops a federated learning (FL) framework overcoming large...
research
∙
07/16/2020
Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction
The goal of this work is the accurate prediction of millimeter-wave rece...
research
∙
05/02/2020
Transfer Learning-Based Received Power Prediction with Ray-tracing Simulation and Small Amount of Measurement Data
This paper proposes a method to predict received power in urban area det...
research
∙
04/21/2020
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning
Federated learning (FL) enables a neural network (NN) to be trained usin...
research
∙
04/14/2020
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise
Over-the-air computation (AirComp)-based federated learning (FL) enables...
research
∙
04/02/2020
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference
This paper proposes a robust adversarial reinforcement learning (RARL)-b...
research
∙
03/23/2020
Contextual Bandit-Based Channel Selection for Wireless LANs with Interference-Driven Feature Extraction
This paper proposes a radio channel selection algorithm based on a conte...
research
∙
03/02/2020
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction
The goal of this study is to improve the accuracy of millimeter wave rec...
research
∙
12/13/2019
Random Access with Opportunity Detection in Wireless Networks
This letter proposes a novel random medium access control (MAC) based on...
research
∙
11/05/2019
One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction
Focusing on the received power prediction of millimeter-wave (mmWave) ra...
research
∙
06/12/2019
Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks
For reliable millimeter-wave (mmWave) networks, this paper proposes coop...
research
∙
05/17/2019
Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks
A decentralized learning mechanism, Federated Learning (FL), has attract...
research
∙
05/17/2019
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks
Last year, IEEE 802.11 Extremely High Throughput Study Group (EHT Study ...
research
∙
04/09/2019
End-to-End Learning of Proactive Handover Policy for Camera-Assisted mmWave Networks Using Deep Reinforcement Learning
For mmWave networks, this paper proposes an image-to-decision proactive ...
research
∙
03/22/2019
Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks
Sharing perceptual data with other vehicles enhances the traffic safety ...
research
∙
10/26/2018
Deep-Reinforcement-Learning-Based Distributed Vehicle Position Controls for Coverage Expansion in mmWave V2X
In millimeter wave (mmWave) vehicular communications, multi-hop relay di...
research
∙
03/26/2018
Machine-Learning-Based Future Received Signal Strength Prediction Using Depth Images for mmWave Communications
This paper discusses a machine-learning (ML)-based future received signa...
research
∙
02/06/2018