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04/29/2023
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection
Federated learning (FL) enables multiple clients to train a model withou...
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03/17/2023
High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion
Due to the significant resemblance in visual appearance, pill misuse is ...
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02/22/2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
Federated learning (FL) is recently surging as a promising decentralized...
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02/21/2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization
Federated learning enables edge devices to train a global model collabor...
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09/02/2022
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning
Medication mistaking is one of the risks that can result in unpredictabl...
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08/05/2022
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals
Sleep apnea (SA) is a type of sleep disorder characterized by snoring an...
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08/04/2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning
The uneven distribution of local data across different edge devices (cli...
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08/04/2022
Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance
Identifying pills given their captured images under various conditions a...
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07/08/2019
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
We present a new deep learning approach for real-time 3D human action re...
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12/26/2018
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks
Recognizing human actions in untrimmed videos is an important challengin...
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07/18/2018
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks
We propose a novel skeleton-based representation for 3D action recogniti...
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03/21/2018
Exploiting deep residual networks for human action recognition from skeletal data
The computer vision community is currently focusing on solving action re...
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03/21/2018