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Model Compression for Communication Efficient Federated Learning

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.5937-5951

2023

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Analog Gradient Aggregation for Federated Learning Over Wireless Networks: Customized Design and Convergence Analysis

IEEE internet of things journal, 2021-01, Vol.8 (1), p.197-210

2021

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Remote State Estimation of Nonlinear Systems Over Fading Channels via Recurrent Neural Networks

IEEE transaction on neural networks and learning systems, 2022-08, Vol.33 (8), p.3908-3922

2022

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Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.5774-5788

2023

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Compressive Channel Estimation in mmWave Systems with Flexible Hybrid Beamforming Architecture

ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020, p.1-6

2020

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Data and Channel-Adaptive Sensor Scheduling for Federated Edge Learning via Over-the-Air Gradient Aggregation

IEEE internet of things journal, 2022-02, Vol.9 (3), p.1640-1654

2022

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FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning

IEEE internet of things journal, 2022-10, Vol.9 (19), p.19330-19345

2022

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Hierarchical Federated Learning for Hybrid Data Partitioning Across Multitype Sensors

IEEE internet of things journal, 2021-07, Vol.8 (13), p.10922-10939

2021

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Accelerated Federated Learning Over Wireless Fading Channels With Adaptive Stochastic Momentum

IEEE internet of things journal, 2024-04, Vol.11 (8), p.14136-14152

2024

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Sequential Offloading for Distributed DNN Computation in Multiuser MEC Systems

IEEE internet of things journal, 2023-10, Vol.10 (20), p.1-1

2023

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Online Identification and Temperature Tracking Control for Furnace System With a Single Slab and a Single Heater Over the Wirelessly Connected IoT Controller

IEEE internet of things journal, 2024-02, Vol.11 (4), p.6730-6747

2024

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Communication-Efficient Federated Multitask Learning Over Wireless Networks

IEEE internet of things journal, 2023-01, Vol.10 (1), p.609-624

2023

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Over-the-Air Computation of Large Scale Nomographic Functions in MapReduce over the Edge Cloud Network

IEEE internet of things journal, 2022-07, Vol.9 (14), p.1-1

2022

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Simultaneous Learning and Inferencing of DNN-Based mmWave Massive MIMO Channel Estimation in IoT Systems With Unknown Nonlinear Distortion

IEEE internet of things journal, 2022-01, Vol.9 (1), p.783-799

2022

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Decentralized Sensor Scheduling, Bandwidth Allocation, and Dynamic Quantization for FL Under Hybrid Data Partitioning

IEEE internet of things journal, 2022-11, Vol.9 (21), p.21214-21231

2022

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Dynamic RAT Selection and Transceiver Optimization for Mobile-Edge Computing Over Multi-RAT Heterogeneous Networks

IEEE internet of things journal, 2022-10, Vol.9 (20), p.20532-20546

2022

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Transformer-Based Online Bayesian Neural Networks for Grant-Free Uplink Access in CRAN With Streaming Variational Inference

IEEE internet of things journal, 2022-05, Vol.9 (9), p.7051-7064

2022

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Online System Identification and Optimal Control for Mission-Critical IoT Systems Over MIMO Fading Channels

IEEE internet of things journal, 2022-11, Vol.9 (21), p.21157-21173

2022

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A Stochastic Geometry Analysis for Energy-Harvesting-Based Device-to-Device Communication

IEEE internet of things journal, 2022-01, Vol.9 (2), p.1591-1607

2022

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Over-the-Air Aggregation With Multiple Shared Channels and Graph-Based State Estimation for Industrial IoT Systems

IEEE internet of things journal, 2021-10, Vol.8 (19), p.14638-14657

2021

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Combining Conjugate Gradient and Momentum for Unconstrained Stochastic Optimization With Applications to Machine Learning

IEEE internet of things journal, 2024-07, Vol.11 (13), p.23236-23254

2024

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RNN-Based Learning of Nonlinear Dynamic System Using Wireless IIoT Networks

IEEE internet of things journal, 2021-07, Vol.8 (14), p.11177-11192

2021

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Structured Bayesian Federated Learning for Green AI: A Decentralized Model Compression Using Turbo-VBI-Based Approach

IEEE internet of things journal, 2024-04, Vol.11 (7), p.12783-12798

2024

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Cloud-Assisted Stabilization of Large-Scale Multiagent Systems by Over-the-Air-Fusion of IoT Sensors

IEEE internet of things journal, 2019-10, Vol.6 (5), p.7748-7759

2019

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Robust Federated Learning Over Noisy Fading Channels

IEEE internet of things journal, 2023-05, Vol.10 (9), p.7993-8013

2023

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Model Compression for Communication Efficient Federated Learning

Analog Gradient Aggregation for Federated Learning Over Wireless Networks: Customized Design and Convergence Analysis

Remote State Estimation of Nonlinear Systems Over Fading Channels via Recurrent Neural Networks

Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method

Compressive Channel Estimation in mmWave Systems with Flexible Hybrid Beamforming Architecture

Data and Channel-Adaptive Sensor Scheduling for Federated Edge Learning via Over-the-Air Gradient Aggregation

FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning

Hierarchical Federated Learning for Hybrid Data Partitioning Across Multitype Sensors

Accelerated Federated Learning Over Wireless Fading Channels With Adaptive Stochastic Momentum

Sequential Offloading for Distributed DNN Computation in Multiuser MEC Systems

Online Identification and Temperature Tracking Control for Furnace System With a Single Slab and a Single Heater Over the Wirelessly Connected IoT Controller

Communication-Efficient Federated Multitask Learning Over Wireless Networks

Over-the-Air Computation of Large Scale Nomographic Functions in MapReduce over the Edge Cloud Network

Simultaneous Learning and Inferencing of DNN-Based mmWave Massive MIMO Channel Estimation in IoT Systems With Unknown Nonlinear Distortion

Decentralized Sensor Scheduling, Bandwidth Allocation, and Dynamic Quantization for FL Under Hybrid Data Partitioning

Dynamic RAT Selection and Transceiver Optimization for Mobile-Edge Computing Over Multi-RAT Heterogeneous Networks

Transformer-Based Online Bayesian Neural Networks for Grant-Free Uplink Access in CRAN With Streaming Variational Inference

Online System Identification and Optimal Control for Mission-Critical IoT Systems Over MIMO Fading Channels

A Stochastic Geometry Analysis for Energy-Harvesting-Based Device-to-Device Communication

Over-the-Air Aggregation With Multiple Shared Channels and Graph-Based State Estimation for Industrial IoT Systems

Combining Conjugate Gradient and Momentum for Unconstrained Stochastic Optimization With Applications to Machine Learning

RNN-Based Learning of Nonlinear Dynamic System Using Wireless IIoT Networks

Structured Bayesian Federated Learning for Green AI: A Decentralized Model Compression Using Turbo-VBI-Based Approach

Cloud-Assisted Stabilization of Large-Scale Multiagent Systems by Over-the-Air-Fusion of IoT Sensors

Robust Federated Learning Over Noisy Fading Channels

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