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Found 12 papers, 0 papers with code
Abstractive Summary Generation for the Urdu Language
Abstractive summary generation is a challenging task that requires the model to comprehend the source text and generate a concise and coherent summary that captures the essential information.
Proof of Swarm Based Ensemble Learning for Federated Learning Applications
We experimentally validated the performance of the proposed algorithm using ECG classification as an example application in healthcare, showing that the ensemble learning model outperformed all local models and even the FL-based global model.
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
In federated learning (FL), data poisoning attacks can be generalized to model poisoning attacks, which cannot be detected by simpler methods due to the lack of access to local training data by the detector.
Non-equilibrium molecular geometries in graph neural networks
Moreover, many of the properties that we aim to predict can often be obtained with little or no overhead on top of the DFT calculations used to produce the 3D geometry information, voiding the need for a predictive model.
Deep Camera Pose Regression Using Pseudo-LiDAR
By proving the validity of using pseudo-LiDAR signals over depth maps for localization, there are new considerations when implementing large-scale localization systems.
Lightweight Transformer in Federated Setting for Human Activity Recognition
Moreover, in home healthcare applications the centralized approach can raise serious privacy concerns since the sensors used by a HAR classifier collect a lot of highly personal and sensitive data about people in the home.
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Nevertheless, training deep learning models normally requires a large amount of data and it can lead to privacy concerns.
SoK: Function-as-a-Service: From An Application Developer's Perspective
In this model, a developer focuses on writing the code of the application while infrastructure management is left to the cloud provider who is responsible for the underlying resources, security, isolation, and scaling of the application.
GPSPiChain-Blockchain based Self-Contained Family Security System in Smart Home
This paper presents a blockchain based family security system for tracking the location of consenting family members' smart phones.
Prediction of Hemolysis Tendency of Peptides using a Reliable Evaluation Method
Traditional methods for evaluation of toxicity of peptides can be time-consuming and costly.
Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks
Metal-organic framework (MOFs) are nanoporous materials that could be used to capture carbon dioxide from the exhaust gas of fossil fuel power plants to mitigate climate change.
Competitive numerical analysis for stochastic HIV/AIDS epidemic model in a two-sex population
This study is an attempt to explain a reliable numerical analysis of a stochastic HIV/AIDS model in a two-sex population considering counselling and antiretroviral therapy (ART).
