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03/20/2023
Over-the-Air Federated Edge Learning with Error-Feedback One-Bit Quantization and Power Control
Over-the-air federated edge learning (Air-FEEL) is a communication-effic...
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01/08/2023
Why Batch Normalization Damage Federated Learning on Non-IID Data?
As a promising distributed learning paradigm, federated learning (FL) in...
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10/28/2022
Low-Complexity Channel Estimation for Massive MIMO Systems with Decentralized Baseband Processing
The traditional centralized baseband processing architecture is faced wi...
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06/17/2021
Quantized Federated Learning under Transmission Delay and Outage Constraints
Federated learning (FL) has been recognized as a viable distributed lear...
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06/05/2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Deep neural networks have been shown as a class of useful tools for addr...
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05/12/2021
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization
XGBoost is one of the most widely used machine learning models in the in...
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03/18/2021
Efficient Algorithms for Rotation Averaging Problems
The rotation averaging problem is a fundamental task in computer vision ...
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09/05/2020
FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework
Feature engineering is the process of using domain knowledge to extract ...
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09/05/2020
Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior
Tensor rank learning for canonical polyadic decomposition (CPD) has long...
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06/15/2020
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
Optimization theory assisted algorithms have received great attention fo...
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06/07/2020
Optimally Combining Classifiers for Semi-Supervised Learning
This paper considers semi-supervised learning for tabular data. It is wi...
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05/19/2020
Human-Perception-Oriented Pseudo Analog Video Transmissions with Deep Learning
Recently, pseudo analog transmission has gained increasing attentions du...
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04/10/2020
SR2CNN: Zero-Shot Learning for Signal Recognition
Signal recognition is one of significant and challenging tasks in the si...
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12/26/2019
Efficiency Maximization for UAV-Enabled Mobile Relaying Systems with Laser Charging
This work studies the joint problem of power and trajectory optimization...
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10/28/2019
Efficient QP-ADMM Decoder for Binary LDPC Codes and Its Performance Analysis
This paper presents an efficient quadratic programming (QP) decoder via ...
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09/01/2019
Efficient Resource Allocation for Relay-Assisted Computation Offloading in Mobile Edge Computing
In this article, we consider the problem of relay assisted computation o...
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05/07/2019
Greedy Signal Space Recovery Algorithm with Overcomplete Dictionaries in Compressive Sensing
Compressive Sensing (CS) is a new paradigm for the efficient acquisition...
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01/18/2019
Array Pattern Synthesis: A Tighter Robust Model and ADMM-Based Solution
In most existing robust array beam pattern synthesis studies, the bounde...
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10/29/2018
Optimized Signal Distortion for PAPR Reduction of OFDM Signals with IFFT/FFT Complexity via ADMM Approaches
In this paper, we propose two low-complexity optimization methods to red...
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10/23/2018
On the Secrecy Unicast Throughput Performance of NOMA Assisted Multicast-Unicast Streaming With Partial Channel Information
This paper considers a downlink single-cell non-orthogonal multiple acce...
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01/23/2018
Spectral Efficiency Optimization For Millimeter Wave Multi-User MIMO Systems
As a key enabling technology for 5G wireless, millimeter wave (mmWave) c...
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12/13/2017