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07/20/2023
Communication-Efficient Federated Learning over Capacity-Limited Wireless Networks
In this paper, a communication-efficient federated learning (FL) framewo...
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07/20/2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression
This paper proposes a novel communication-efficient split learning (SL) ...
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06/08/2023
MIMO Detection under Hardware Impairments: Learning with Noisy Labels
This paper considers a data detection problem in multiple-input multiple...
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06/12/2022
Communication-Efficient Federated Learning over MIMO Multiple Access Channels
Communication efficiency is of importance for wireless federated learnin...
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05/30/2022
MetaSSD: Meta-Learned Self-Supervised Detection
Deep learning-based symbol detector gains increasing attention due to th...
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04/16/2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing
In this paper, a new communication-efficient federated learning (FL) fra...
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11/30/2021
Communication-Efficient Federated Learning via Quantized Compressed Sensing
In this paper, we present a communication-efficient federated learning f...
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01/28/2021
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization
Federated learning (FL), as a type of distributed machine learning frame...
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03/23/2020
Data-Aided Channel Estimator for MIMO Systems via Reinforcement Learning
This paper presents a data-aided channel estimator that reduces the chan...
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03/18/2020
Gradient Estimation for Federated Learning over Massive MIMO Communication Systems
Federated learning is a communication-efficient and privacy-preserving s...
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03/29/2019
Robust Data Detection for MIMO Systems with One-Bit ADCs: A Reinforcement Learning Approach
The use of one-bit analog-to-digital converters (ADCs) at a receiver is ...
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11/29/2018
Soft-Output Detection Methods for Sparse Millimeter Wave MIMO Systems with Low-Precision ADCs
The use of low-precision analog-to-digital converters (ADCs) is a low-co...
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11/14/2018