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Review on Federated Learning for digital transformation in healthcare through big data analytics
Abstract In recent years, Big Data Analytics (BDA) and Federated Learning (FL) have
become increasingly essential in healthcare, potentially revolutionizing patient care and …
become increasingly essential in healthcare, potentially revolutionizing patient care and …
Building the metaverse: Design considerations, socio-technical elements, and future research directions of metaverse
Virtual worlds are progressing toward a holistic abstraction of the metaverse. While there is
abundant literature and synthesis on virtual worlds and related constructs, the linkages …
abundant literature and synthesis on virtual worlds and related constructs, the linkages …
Should I share it? Factors influencing fake news-sharing behaviour: A behavioural reasoning theory perspective
Social media has become an integral part of our lives because of its popularity among users.
However, the dissemination of fake information has been a significant issue for marketers …
However, the dissemination of fake information has been a significant issue for marketers …
A novel data poisoning attack in federated learning based on inverted loss function
Data poisoning attack is one of the common attacks that decreases the performance of a
model in edge machine learning. The mechanism used in most of the existing data …
model in edge machine learning. The mechanism used in most of the existing data …
[HTML][HTML] A joint resource allocation, security with efficient task scheduling in cloud computing using hybrid machine learning techniques
The rapid growth of cloud computing environment with many clients ranging from personal
users to big corporate or business houses has become a challenge for cloud organizations …
users to big corporate or business houses has become a challenge for cloud organizations …
Federated learning for healthcare applications
Due to the fast advancement of artificial intelligence (AI), centralized-based models have
become critical for healthcare tasks like in medical image analysis and human behavior …
become critical for healthcare tasks like in medical image analysis and human behavior …
Analysis of retail sector research evolution and trends during COVID-19
BB Gupta, A Gaurav, PK Panigrahi - Technological Forecasting and Social …, 2023 - Elsevier
The purpose of this study is to analysis the evolution of the retail sector during the COVID-19
period and to identify future research issues. Scopus databases were searched for articles …
period and to identify future research issues. Scopus databases were searched for articles …
Analyzing the progress of FINTECH-companies and their integration with new technologies for innovation and entrepreneurship
B Chaklader, BB Gupta, PK Panigrahi - Journal of Business Research, 2023 - Elsevier
The purpose of this research is to present an overview of the progress of Financial
Technology (FINTECH) companies and their integration with the latest cutting-edge …
Technology (FINTECH) companies and their integration with the latest cutting-edge …
A privacy-enhanced retrieval technology for the cloud-assisted internet of things
In the cloud-assisted Internet of things (IoT), most of the data are sent to the cloud for storage
and processing. Data privacy and security are extreme concerns since retrieving data from …
and processing. Data privacy and security are extreme concerns since retrieving data from …
A novel centralized federated deep fuzzy neural network with multi-objectives neural architecture search for epistatic detection
Epistasis detection (ED) was widely used for identifying potential risk disease variants in the
human genome. A statistically meaningful ED typically requires a more extensive dataset to …
human genome. A statistically meaningful ED typically requires a more extensive dataset to …