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07/28/2023
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting
For the 6G mobile networks, in-situ model downloading has emerged as an ...
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06/30/2023
Timely and Massive Communication in 6G: Pragmatics, Learning, and Inference
5G has expanded the traditional focus of wireless systems to embrace two...
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06/21/2023
Split Learning in 6G Edge Networks
With the proliferation of distributed edge computing resources, the 6G m...
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06/11/2023
Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI
With the advent of emerging IoT applications such as autonomous driving,...
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05/10/2023
Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference
Federated Learning (FL) is a widely embraced paradigm for distilling art...
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03/26/2023
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
The increasingly deeper neural networks hinder the democratization of pr...
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02/28/2023
On-the-Fly Communication-and-Computing for Distributed Tensor Decomposition Over MIMO Channels
Distributed tensor decomposition (DTD) is a fundamental data-analytics t...
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02/20/2023
Over-the-Air Multi-View Pooling for Distributed Sensing
Sensing is envisioned as a key network function of the 6G mobile network...
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01/01/2023
Semantic Data Sourcing for 6G Edge Intelligence
As a new function of 6G networks, edge intelligence refers to the ubiqui...
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12/10/2022
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
Although considerable progress has been obtained in neural network quant...
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11/07/2022
Over-the-Air Integrated Sensing, Communication, and Computation in IoT Networks
To facilitate the development of Internet of Things (IoT) services, trem...
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11/02/2022
Task-Oriented Over-the-Air Computation for Multi-Device Edge AI
Departing from the classic paradigm of data-centric designs, the 6G netw...
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10/07/2022
In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile Networks
The sixth-generation (6G) mobile networks are expected to feature the ub...
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07/05/2022
A Two-Timescale Approach to Mobility Management for Multi-Cell Mobile Edge Computing
Mobile edge computing (MEC) is a promising technology for enhancing the ...
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04/14/2022
Distributed Over-the-air Computing for Fast Distributed Optimization: Beamforming Design and Convergence Analysis
Distributed optimization concerns the optimization of a common function ...
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04/11/2022
Resource Allocation for Multiuser Edge Inference with Batching and Early Exiting (Extended Version)
The deployment of inference services at the network edge, called edge in...
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01/29/2022
Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design
To support the unprecedented growth of the Internet of Things (IoT) appl...
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12/14/2021
Progressive Feature Transmission for Split Inference at the Wireless Edge
In edge inference, an edge server provides remote-inference services to ...
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11/04/2021
Analog MIMO Communication for One-shot Distributed Principal Component Analysis
A fundamental algorithm for data analytics at the edge of wireless netwo...
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10/01/2021
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
In 1940s, Claude Shannon developed the information theory focusing on qu...
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09/30/2021
Federated Dropout – A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Federated learning (FL) is a popular framework for training an AI model ...
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07/19/2021
Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence
The rapid development of artificial intelligence together with the power...
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06/08/2021
A Perspective on Time towards Wireless 6G
With the advent of 5G technology, the notion of latency got a prominent ...
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04/05/2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
The next-generation of wireless networks will enable many machine learni...
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04/05/2021
An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface
In this paper, we propose a novel wireless architecture, mounted on a hi...
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03/10/2021
Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis
The deployment of federated learning in a wireless network, called feder...
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02/24/2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer
Federated edge learning (FEEL) is a widely adopted framework for trainin...
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02/05/2021
Reconfigurable Intelligent Surface Assisted Edge Machine Learning
The ever-growing popularity and rapid improving of artificial intelligen...
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02/05/2021
Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation
Mobile-edge computing (MEC) enhances the capacities and features of mobi...
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01/13/2021
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing
Wireless power transfer (WPT) is an emerging paradigm that will enable u...
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12/25/2020
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
The ever-growing popularity and rapid improving of artificial intelligen...
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10/08/2020
Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels
A main edge learning paradigm, called partitioned edge learning (PARTEL)...
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09/04/2020
Over-the-Air Computing for 6G – Turning Air into a Computer
Wireless data aggregation (WDA), referring to aggregating data distribut...
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08/20/2020
Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection (Extended version)
Multi-point vehicular positioning is one essential operation for autonom...
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07/30/2020
Capacity of Remote Classification Over Wireless Channels
Wireless connectivity creates a computing paradigm that merges communica...
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07/23/2020
Cooperative Interference Management for Over-the-Air Computation Networks
This paper considers a multi-cell AirComp network and investigates the o...
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07/14/2020
Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing
Edge machine learning involves the deployment of learning algorithms at ...
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04/16/2020
Scheduling for Mobile Edge Computing with Random User Arrivals: An Approximate MDP and Reinforcement Learning Approach
In this paper, we investigate the scheduling design of a mobile edge com...
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04/01/2020
Scheduling in Cellular Federated Edge Learning with Importance and Channel Awareness
In cellular federated edge learning (FEEL), multiple edge devices holdin...
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03/10/2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
To leverage data and computation capabilities of mobile devices, machine...
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01/16/2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
Federated edge learning (FEEL) is a popular framework for model training...
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01/10/2020
Simultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation
The next-generation wireless networks are envisioned to support large-sc...
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12/25/2019
Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling
The massive sensing data generated by Internet-of-Things will provide fu...
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12/03/2019
An Introduction to Communication Efficient Edge Machine Learning
In the near future, Internet-of-Things (IoT) is expected to connect bill...
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11/10/2019
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning
The 5G network connecting billions of IoT devices will make it possible ...
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10/09/2019
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning
Edge machine learning involves the deployment of learning algorithms at ...
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10/05/2019
Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning
With the prevalence of intelligent mobile applications, edge learning is...
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08/13/2019
V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions
Vehicle-to-Everything (V2X) will create many new opportunities in the ar...
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07/13/2019
Energy-Efficient Radio Resource Allocation for Federated Edge Learning
Edge machine learning involves the development of learning algorithms at...
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06/17/2019
