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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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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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05/02/2021
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
Wireless channels can be inherently privacy-preserving by distorting the...
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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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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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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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03/02/2020
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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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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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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03/26/2018