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08/09/2023
Tram-FL: Routing-based Model Training for Decentralized Federated Learning
In decentralized federated learning (DFL), substantial traffic from freq...
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01/02/2023
Point Cloud-based Proactive Link Quality Prediction for Millimeter-wave Communications
This study demonstrates the feasibility of point cloud-based proactive l...
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08/30/2022
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing
This paper proposes a neural architecture search (NAS) method for split ...
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03/06/2022
Watch from sky: machine-learning-based multi-UAV network for predictive police surveillance
This paper presents the watch-from-sky framework, where multiple unmanne...
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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...
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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 ...
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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...
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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 ...
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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...
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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 ...
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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...
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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...
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10/13/2020
When Wireless Communications Meet Computer Vision in Beyond 5G
This article articulates the emerging paradigm, sitting at the confluenc...
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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...
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09/29/2020
Online Trainable Wireless Link Quality Prediction System using Camera Imagery
Machine-learning-based prediction of future wireless link quality is an ...
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09/20/2020
Estimation of Individual Device Contributions for Incentivizing Federated Learning
Federated learning (FL) is an emerging technique used to train a machine...
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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...
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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...
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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...
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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...
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04/14/2020
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise
Over-the-air computation (AirComp)-based federated learning (FL) enables...
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04/02/2020
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference
This paper proposes a robust adversarial reinforcement learning (RARL)-b...
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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...
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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...
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01/27/2020
Extreme URLLC: Vision, Challenges, and Key Enablers
Notwithstanding the significant traction gained by ultra-reliable and lo...
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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...
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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...
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05/17/2019
Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks
A decentralized learning mechanism, Federated Learning (FL), has attract...
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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 ...
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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 ...
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03/22/2019
Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks
Sharing perceptual data with other vehicles enhances the traffic safety ...
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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...
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04/23/2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
We envision a mobile edge computing (MEC) framework for machine learning...
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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...
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02/06/2018