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Federated Learning Over Wireless Fading Channels

IEEE transactions on wireless communications, 2020-05, Vol.19 (5), p.3546-3557

2020

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Optimal Utility-Privacy Trade-Off With Total Variation Distance as a Privacy Measure

IEEE transactions on information forensics and security, 2020, Vol.15, p.594-603

2020

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One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

IEEE transactions on wireless communications, 2021-03, Vol.20 (3), p.2120-2135

2021

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A Learning Theoretic Approach to Energy Harvesting Communication System Optimization

IEEE transactions on wireless communications, 2013-04, Vol.12 (4), p.1872-1882

2013

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DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback

IEEE journal on selected areas in information theory, 2020-05, Vol.1 (1), p.178-193

2020

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DeepWiVe: Deep-Learning-Aided Wireless Video Transmission

IEEE journal on selected areas in communications, 2022-09, Vol.40 (9), p.2570-2583

2022

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Straggler-Aware Distributed Learning: Communication–Computation Latency Trade-Off

Entropy (Basel, Switzerland), 2020-05, Vol.22 (5), p.544

2020

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Decentralized Caching and Coded Delivery With Distinct Cache Capacities

IEEE transactions on communications, 2017-11, Vol.65 (11), p.4657-4669

2017

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Energy Harvesting Broadband Communication Systems With Processing Energy Cost

IEEE transactions on wireless communications, 2014-11, Vol.13 (11), p.6095-6107

2014

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Gradient Coding With Dynamic Clustering for Straggler-Tolerant Distributed Learning

IEEE transactions on communications, 2023-06, Vol.71 (6), p.3317-3332

2023

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Channel-Adaptive Wireless Image Transmission With OFDM

IEEE wireless communications letters, 2022-11, Vol.11 (11), p.2400-2404

2022

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A general framework for the optimization of energy harvesting communication systems with battery imperfections

Journal of Communications and Networks, 2012, 14(2), , pp.130-139

2012

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Distributed Hypothesis Testing over a Noisy Channel: Error-Exponents Trade-Off

Entropy (Basel, Switzerland), 2023-02, Vol.25 (2), p.304

2023

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AirNet: Neural Network Transmission over the Air

IEEE transactions on wireless communications, 2024, p.1-1

2024

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On Perfect Privacy

IEEE journal on selected areas in information theory, 2021-03, Vol.2 (1), p.177-191

2021

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Progressive Feature Transmission for Split Classification at the Wireless Edge

IEEE transactions on wireless communications, 2023-06, Vol.22 (6), p.3837-3852

2023

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LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training

IEEE transactions on vehicular technology, 2022-03, Vol.71 (3), p.2979-2990

2022

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Deep Learning for Massive MIMO Channel State Acquisition and Feedback

Journal of the Indian Institute of Science, 2020, Vol.100 (2), p.369-382

2020

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Multi-Access Communications With Energy Harvesting: A Multi-Armed Bandit Model and the Optimality of the Myopic Policy

IEEE journal on selected areas in communications, 2015-03, Vol.33 (3), p.585-597

2015

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Generative Joint Source-Channel Coding for Semantic Image Transmission

IEEE journal on selected areas in communications, 2023-08, Vol.41 (8), p.1-1

2023

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A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback

IEEE transactions on wireless communications, 2024-01, Vol.23 (1), p.1-1

2024

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Blind Super-Resolution Via Meta-Learning and Markov Chain Monte Carlo Simulation

IEEE transactions on pattern analysis and machine intelligence, 2024-05, Vol.PP, p.1-18

2024

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Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels

IEEE transactions on wireless communications, 2024-07, p.1-1

2024

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Robust Semi-Decentralized Federated Learning via Collaborative Relaying

IEEE transactions on wireless communications, 2024-07, Vol.23 (7), p.7520-7536

2024

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Machine Learning and Wireless Communications

First edition, 2022

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Federated Learning Over Wireless Fading Channels

Optimal Utility-Privacy Trade-Off With Total Variation Distance as a Privacy Measure

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

A Learning Theoretic Approach to Energy Harvesting Communication System Optimization

DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback

DeepWiVe: Deep-Learning-Aided Wireless Video Transmission

Straggler-Aware Distributed Learning: Communication–Computation Latency Trade-Off

Decentralized Caching and Coded Delivery With Distinct Cache Capacities

Energy Harvesting Broadband Communication Systems With Processing Energy Cost

Gradient Coding With Dynamic Clustering for Straggler-Tolerant Distributed Learning

Channel-Adaptive Wireless Image Transmission With OFDM

A general framework for the optimization of energy harvesting communication systems with battery imperfections

Distributed Hypothesis Testing over a Noisy Channel: Error-Exponents Trade-Off

AirNet: Neural Network Transmission over the Air

On Perfect Privacy

Progressive Feature Transmission for Split Classification at the Wireless Edge

LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training

Deep Learning for Massive MIMO Channel State Acquisition and Feedback

Multi-Access Communications With Energy Harvesting: A Multi-Armed Bandit Model and the Optimality of the Myopic Policy

Generative Joint Source-Channel Coding for Semantic Image Transmission

A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback

Blind Super-Resolution Via Meta-Learning and Markov Chain Monte Carlo Simulation

Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels

Robust Semi-Decentralized Federated Learning via Collaborative Relaying

Machine Learning and Wireless Communications

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