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09/20/2023
Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image Generation
By integrating recent advances in large language models (LLMs) and gener...
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09/08/2023
Sequential Semantic Generative Communication for Progressive Text-to-Image Generation
This paper proposes new framework of communication system leveraging pro...
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04/17/2023
SplitAMC: Split Learning for Robust Automatic Modulation Classification
Automatic modulation classification (AMC) is a technology that identifie...
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12/13/2022
Enabling the Wireless Metaverse via Semantic Multiverse Communication
Metaverse over wireless networks is an emerging use case of the sixth ge...
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11/15/2022
Enabling AI Quality Control via Feature Hierarchical Edge Inference
With the rise of edge computing, various AI services are expected to be ...
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11/14/2022
Joint Data Deepening-and-Prefetching for Energy-Efficient Edge Learning
The vision of pervasive machine learning (ML) services can be realized b...
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11/11/2022
Over-the-Air Consensus for Distributed Vehicle Platooning Control (Extended version)
A distributed control of vehicle platooning is referred to as distribute...
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10/28/2022
Differentially Private CutMix for Split Learning with Vision Transformer
Recently, vision transformer (ViT) has started to outpace the convention...
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07/08/2022
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
Classical medium access control (MAC) protocols are interpretable, yet t...
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07/01/2022
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning
This article seeks for a distributed learning solution for the visual tr...
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02/10/2022
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data
We introduce a data-driven anomaly detection framework using a manufactu...
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04/26/2021
Communication-Efficient and Personalized Federated Lottery Ticket Learning
The lottery ticket hypothesis (LTH) claims that a deep neural network (i...
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03/20/2021
Most Efficient Sensor Network Protocol for a Permanent Natural Disaster Monitoring System
To minimize enormous havoc from disasters, permanent environment monitor...
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01/01/2021
Mean-Field Game-Theoretic Edge Caching
In this book chapter, we study a problem of distributed content caching ...
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11/07/2020
Exploiting User Mobility for WiFi RTT Positioning: A Geometric Approach
Due to the massive deployment of WiFi APs and its accessibility to vario...
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11/04/2020
Federated Knowledge Distillation
Distributed learning frameworks often rely on exchanging model parameter...
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08/06/2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Machine learning (ML) is a promising enabler for the fifth generation (5...
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06/17/2020
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup
This letter proposes a novel communication-efficient and privacy-preserv...
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06/09/2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning
User-generated data distributions are often imbalanced across devices an...
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06/01/2020
Understanding Uncertainty of Edge Computing: New Principle and Design Approach
Due to the edge's position between the cloud and the users, and the rece...
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05/13/2020
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
Traditional distributed deep reinforcement learning (RL) commonly relies...
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05/13/2020
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Leargning
Traditional distributed deep reinforcement learning (RL) commonly relies...
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04/27/2020
Demo: A Reinforcement Learning-based Flexible Duplex System for B5G with Sub-6 GHz
In this paper, we propose a reinforcement learning-based flexible duplex...
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04/08/2020
A Public Safety Framework for Immersive Aerial Monitoring through 5G Commercial Network
Are 5G connection and UAVs merely parts of an extravagant and luxurious ...
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12/13/2019
Random Access with Opportunity Detection in Wireless Networks
This letter proposes a novel random medium access control (MAC) based on...
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08/16/2019
Distilling On-Device Intelligence at the Network Edge
Devices at the edge of wireless networks are the last mile data sources ...
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07/15/2019
Federated Reinforcement Distillation with Proxy Experience Memory
In distributed reinforcement learning, it is common to exchange the expe...
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07/15/2019
Multi-hop Federated Private Data Augmentation with Sample Compression
On-device machine learning (ML) has brought about the accessibility to a...
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11/28/2018
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data
On-device machine learning (ML) enables the training process to exploit ...
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08/12/2018
On-Device Federated Learning via Blockchain and its Latency Analysis
In this letter, we propose a block-chained federated learning (BlockFL) ...
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03/08/2018
Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach
This paper proposes a real-time movement control algorithm for massive u...
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02/06/2018
Asymptotic Analysis of Normalized SNR-Based Scheduling in Uplink Cellular Networks with Truncated Channel Inversion Power Control
This paper provides the signal-to-interference-plus-noise ratio (SINR) c...
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02/04/2018
Sense-and-Predict: Harnessing Spatial Interference Correlation for Opportunistic Access in Cognitive Radio Networks
Cognitive radio (CR) is a key enabler realizing 5G networks to achieve h...
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01/23/2018
Mean-Field Game Theoretic Edge Caching in Ultra-Dense Networks
This paper investigates a cellular edge caching problem under a very lar...
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01/22/2018
Opportunism in Dynamic Spectrum Access for 5G: A Concept and Its Application to Duplexing
With the envisioned massive Internet-of-Things (IoT) era, one of the cha...
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12/02/2017