Review on Federated Learning for digital transformation in healthcare through big data analytics

M Babar, B Qureshi, A Koubaa - Future Generation Computer Systems, 2024 - Elsevier
Abstract In recent years, Big Data Analytics (BDA) and Federated Learning (FL) have
become increasingly essential in healthcare, potentially revolutionizing patient care and …

Building the metaverse: Design considerations, socio-technical elements, and future research directions of metaverse

A Singla, N Gupta, P Aeron, A Jain, R Garg… - Journal of Global …, 2022 - igi-global.com
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 …

Should I share it? Factors influencing fake news-sharing behaviour: A behavioural reasoning theory perspective

A Kumar, A Shankar, A Behl, V Arya, N Gupta - … Forecasting and Social …, 2023 - Elsevier
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 …

A novel data poisoning attack in federated learning based on inverted loss function

P Gupta, K Yadav, BB Gupta, M Alazab… - Computers & …, 2023 - Elsevier
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 …

[HTML][HTML] A joint resource allocation, security with efficient task scheduling in cloud computing using hybrid machine learning techniques

PK Bal, SK Mohapatra, TK Das, K Srinivasan, YC Hu - Sensors, 2022 - mdpi.com
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 …

Federated learning for healthcare applications

A Chaddad, Y Wu, C Desrosiers - IEEE internet of things …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

A privacy-enhanced retrieval technology for the cloud-assisted internet of things

T Wang, Q Yang, X Shen, TR Gadekallu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
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 …

A novel centralized federated deep fuzzy neural network with multi-objectives neural architecture search for epistatic detection

X Wu, YT Zhang, KW Lai, MZ Yang… - … on Fuzzy Systems, 2024 - ieeexplore.ieee.org
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 …