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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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06/08/2023
Energy-Efficient Downlink Semantic Generative Communication with Text-to-Image Generators
In this paper, we introduce a novel semantic generative communication (S...
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06/02/2023
Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction
This paper presents a wireless data collection framework that employs an...
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06/01/2023
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks
Low probability of detection (LPD) has recently emerged as a means to en...
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02/15/2023
A Subspace Projection Approach to Autoencoder-based Anomaly Detection
Autoencoder (AE) is a neural network (NN) architecture that is trained t...
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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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12/04/2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding
While witnessing the noisy intermediate-scale quantum (NISQ) era and bey...
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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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09/14/2022
Predictive Closed-Loop Remote Control over Wireless Two-Way Split Koopman Autoencoder
Real-time remote control over wireless is an important-yet-challenging a...
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09/01/2022
Semantic Communication as a Signaling Game with Correlated Knowledge Bases
Semantic communication (SC) goes beyond technical communication in which...
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08/22/2022
Quantum Multi-Agent Meta Reinforcement Learning
Although quantum supremacy is yet to come, there has recently been an in...
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07/20/2022
Slimmable Quantum Federated Learning
Quantum federated learning (QFL) has recently received increasing attent...
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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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05/02/2022
A Unified Approach to Semantic Information and Communication based on Probabilistic Logic
Traditionally, studies on technical communication (TC) are based on stoc...
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03/26/2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
Federated learning (FL) is a key enabler for efficient communication and...
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03/20/2022
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design
In recent years, quantum computing (QC) has been getting a lot of attent...
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01/16/2022
A Unified View on Semantic Information and Communication: A Probabilistic Logic Approach
This article aims to provide a unified and technical approach to semanti...
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12/11/2021
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning
In recent years, there have been great advances in the field of decentra...
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12/05/2021
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding
Mobile devices are indispensable sources of big data. Federated learning...
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12/05/2021
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
This paper aims to integrate two synergetic technologies, federated lear...
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12/03/2021
Learning Emergent Random Access Protocol for LEO Satellite Networks
A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs)...
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08/12/2021
Semantics-Native Communication with Contextual Reasoning
Spurred by a huge interest in the post-Shannon communication, it has rec...
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05/22/2021
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication
In this article, we study the problem of air-to-ground ultra-reliable an...
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05/16/2021
Integrating Geometry-Driven and Data-Driven Positioning via Combinatorial Data Augmentation
Precise positioning has become one core topic in wireless communications...
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05/04/2021
Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations
In this paper, the problem of robust reconfigurable intelligent surface ...
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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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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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04/16/2021
Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction
Remote state monitoring over wireless is envisaged to play a pivotal rol...
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01/27/2021
Predictive Control and Communication Co-Design via Two-Way Gaussian Process Regression and AoI-Aware Scheduling
This article studies the joint problem of uplink-downlink scheduling and...
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01/09/2021
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus
Federated learning (FL) is a promising distributed learning solution tha...
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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
Robustness and Diversity Seeking Data-Free Knowledge Distillation
Knowledge distillation (KD) has enabled remarkable progress in model com...
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11/04/2020
Federated Knowledge Distillation
Distributed learning frameworks often rely on exchanging model parameter...
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10/28/2020
Explore-Before-Talk: Multichannel Selection Diversity for Uplink Transmissions in Machine-Type Communication
Improving the data rate of machine-type communication (MTC) is essential...
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10/20/2020
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks
A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs)...
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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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09/14/2020
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM
In this paper, we propose a communication-efficiently decentralized mach...
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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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07/17/2020
Towards Enabling Critical mMTC: A Review of URLLC within mMTC
Massive machine-type communication (mMTC) and ultra-reliable and low-lat...
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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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07/03/2020
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
Wireless connectivity is instrumental in enabling scalable federated lea...
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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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05/26/2020
Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks
A mega-constellation of low-earth orbit (LEO) satellites has the potenti...
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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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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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02/29/2020
