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07/13/2023
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting
Time series forecasting has received wide interest from existing researc...
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06/01/2023
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning
Asynchronous federated learning aims to solve the straggler problem in h...
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04/06/2023
Approximate Wireless Communication for Federated Learning
This paper presents an approximate wireless communication scheme for fed...
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08/03/2022
A New Implementation of Federated Learning for Privacy and Security Enhancement
Motivated by the ever-increasing concerns on personal data privacy and t...
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06/30/2022
Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition
Human action recognition is a quite hugely investigated area where most ...
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08/05/2021
User Scheduling for Federated Learning Through Over-the-Air Computation
A new machine learning (ML) technique termed as federated learning (FL) ...
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09/26/2020
DT-Net: A novel network based on multi-directional integrated convolution and threshold convolution
Since medical image data sets contain few samples and singular features,...
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06/21/2020
Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC
Federated learning (FL) is a highly pursued machine learning technique t...
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04/11/2020
Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement
Mobile edge computing (MEC) is an emerging communication scheme that aim...
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03/25/2020
A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation
To better retain the deep features of an image and solve the sparsity pr...
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03/03/2020
Adaptive Federated Learning With Gradient Compression in Uplink NOMA
Federated learning (FL) is an emerging machine learning technique that a...
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05/25/2019
Deep Image Feature Learning with Fuzzy Rules
The methods of extracting image features are the key to many image proce...
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04/27/2017