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09/16/2023
Private Variable-Length Coding with Sequential Encoder
A multi-user private data compression problem is studied. A server has a...
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09/14/2023
Communication Efficient Private Federated Learning Using Dithering
The task of preserving privacy while ensuring efficient communication is...
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08/30/2023
State Estimation over Broadcast and Multi-Access Channels in an Unreliable Regime
This article examines the problem of state estimation over multi-termina...
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08/16/2023
A Hybrid Wireless Image Transmission Scheme with Diffusion
We propose a hybrid joint source-channel coding (JSCC) scheme, in which ...
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08/05/2023
Secure Deep-JSCC Against Multiple Eavesdroppers
In this paper, a generalization of deep learning-aided joint source chan...
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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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06/22/2023
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage
A private cache-aided compression problem is studied, where a server has...
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06/22/2023
Communication-Efficient Federated Learning through Importance Sampling
The high communication cost of sending model updates from the clients to...
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06/19/2023
Data-Heterogeneous Hierarchical Federated Learning with Mobility
Federated learning enables distributed training of machine learning (ML)...
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06/14/2023
Wireless Point Cloud Transmission
3D point cloud is a three-dimensional data format generated by LiDARs an...
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06/05/2023
Learning-Based Rich Feedback HARQ for Energy-Efficient Short Packet Transmission
The trade-off between reliability, latency, and energy-efficiency is a c...
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06/01/2023
Do not Interfere but Cooperate: A Fully Learnable Code Design for Multi-Access Channels with Feedback
Data-driven deep learning based code designs, including low-complexity n...
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05/23/2023
Sustainable Edge Intelligence Through Energy-Aware Early Exiting
Deep learning (DL) models have emerged as a promising solution for Inter...
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05/22/2023
DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission
This paper presents a novel vision transformer (ViT) based deep joint so...
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05/22/2023
The Rate-Distortion-Perception Trade-off with Side Information
In image compression, with recent advances in generative modeling, the e...
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05/17/2023
Unsourced Massive Access-Based Digital Over-the-Air Computation for Efficient Federated Edge Learning
Over-the-air computation (OAC) is a promising technique to achieve fast ...
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05/16/2023
Conditional Rate-Distortion-Perception Trade-Off
Recent advances in machine learning-aided lossy compression are incorpor...
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05/14/2023
Semantic Communication of Learnable Concepts
We consider the problem of communicating a sequence of concepts, i.e., u...
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02/16/2023
AirGNN: Graph Neural Network over the Air
Graph neural networks (GNNs) are information processing architectures th...
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01/27/2023
Information-Theoretic Privacy-Preserving Schemes Based On Perfect Privacy
Consider a pair of random variables (X,Y) distributed according to a giv...
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12/22/2022
Device Selection for the Coexistence of URLLC and Distributed Learning Services
Recent advances in distributed artificial intelligence (AI) have led to ...
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12/08/2022
Vicious Classifiers: Data Reconstruction Attack at Inference Time
Privacy-preserving inference via edge or encrypted computing paradigms e...
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12/07/2022
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles
Federated learning (FL) is a promising approach to enable the future Int...
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12/02/2022
A Theory of Semantic Communication
Semantic communication is an emerging topic that has received a wide ran...
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11/24/2022
Generative Joint Source-Channel Coding for Semantic Image Transmission
Recent works have shown that joint source-channel coding (JSCC) schemes ...
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11/21/2022
Intelligent Computing: The Latest Advances, Challenges and Future
Computing is a critical driving force in the development of human civili...
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11/17/2022
Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel
We consider distributed image transmission over a noisy multiple access ...
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11/16/2022
Deep Joint Source-Channel Coding for Semantic Communications
Semantic communications is considered as a promising technology for redu...
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11/03/2022
Feedback is Good, Active Feedback is Better: Block Attention Active Feedback Codes
Deep neural network (DNN)-assisted channel coding designs, such as low-c...
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10/30/2022
Decentralized Channel Management in WLANs with Graph Neural Networks
Wireless local area networks (WLANs) manage multiple access points (APs)...
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09/30/2022
A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback
Channel state information (CSI) plays a critical role in achieving the p...
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09/30/2022
Sparse Random Networks for Communication-Efficient Federated Learning
One main challenge in federated learning is the large communication cost...
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08/21/2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
The increasing popularity of the federated learning framework due to its...
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08/19/2022
Deep Joint Source-Channel and Encryption Coding: Secure Semantic Communications
Deep learning driven joint source-channel coding (JSCC) for wireless ima...
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08/17/2022
Semantic Communications with Discrete-time Analog Transmission: A PAPR Perspective
Recent progress in deep learning (DL)-based joint source-channel coding ...
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07/24/2022
Privacy Against Inference Attacks in Vertical Federated Learning
Vertical federated learning is considered, where an active party, having...
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07/19/2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Communication systems to date primarily aim at reliably communicating bi...
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07/19/2022
Over-the-Air Federated Edge Learning with Hierarchical Clustering
We examine federated learning (FL) with over-the-air (OTA) aggregation, ...
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07/18/2022
Neural Distributed Image Compression with Cross-Attention Feature Alignment
We propose a novel deep neural network (DNN) architecture for compressin...
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07/11/2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Bottleneck problems are an important class of optimization problems that...
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07/07/2022
Learning-based Autonomous Channel Access in the Presence of Hidden Terminals
We consider the problem of autonomous channel access (AutoCA), where a g...
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06/19/2022
All you need is feedback: Communication with block attention feedback codes
Deep learning based channel code designs have recently gained interest a...
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06/16/2022
DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding
Recent works have shown that modern machine learning techniques can prov...
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05/30/2022
AttentionCode: Ultra-Reliable Feedback Codes for Short-Packet Communications
Ultra-reliable short-packet communication is a major challenge in future...
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05/25/2022
Over-the-Air Federated Learning with Energy Harvesting Devices
We consider federated edge learning (FEEL) among mobile devices that har...
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05/23/2022
Semi-Decentralized Federated Learning with Collaborative Relaying
We present a semi-decentralized federated learning algorithm wherein cli...
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05/08/2022
Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication
6G wireless networks are foreseen to speed up the convergence of the phy...
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05/03/2022
Privacy Amplification via Random Participation in Federated Learning
Running a randomized algorithm on a subsampled dataset instead of the en...
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04/26/2022
Rate-Constrained Remote Contextual Bandits
We consider a rate-constrained contextual multi-armed bandit (RC-CMAB) p...
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03/20/2022