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06/11/2023
Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach
Representation learning for time series has been an important research a...
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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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04/18/2023
Multimodal contrastive learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals and patient metadata
This work discusses the use of contrastive learning and deep learning fo...
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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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03/03/2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Federated learning (FL) is a machine learning (ML) approach that allows ...
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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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11/20/2022
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training
We introduce FedDCT, a novel distributed learning paradigm that enables ...
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11/11/2022
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
Advances in deep neural network (DNN) architectures have enabled new pre...
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10/05/2022
Multi-stream Fusion for Class Incremental Learning in Pill Image Classification
Classifying pill categories from real-world images is crucial for variou...
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09/06/2022
A Survey of Machine Unlearning
Computer systems hold a large amount of personal data over decades. On t...
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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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08/16/2022
A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks
Wireless sensor networks consist of randomly distributed sensor nodes fo...
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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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01/01/2022
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss
In the last decades, scene text recognition has gained worldwide attenti...
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01/01/2022