Federated learning for privacy-preserving: A review of PII data analysis in Fintech
There has been tremendous growth in the field of AI and machine learning. The
developments across these fields have resulted in a considerable increase in other FinTech …
developments across these fields have resulted in a considerable increase in other FinTech …
Client selection in federated learning: Principles, challenges, and opportunities
As a privacy-preserving paradigm for training machine learning (ML) models, federated
learning (FL) has received tremendous attention from both industry and academia. In a …
learning (FL) has received tremendous attention from both industry and academia. In a …
Federated learning for edge computing: A survey
New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …
network, allowing edge devices to train simple models that can then be deployed in practice …
Deep learning: Systematic review, models, challenges, and research directions
T Talaei Khoei, H Ould Slimane… - Neural Computing and …, 2023 - Springer
The current development in deep learning is witnessing an exponential transition into
automation applications. This automation transition can provide a promising framework for …
automation applications. This automation transition can provide a promising framework for …
Exploring privacy measurement in federated learning
Federated learning (FL) is a collaborative artificial intelligence (AI) approach that enables
distributed training of AI models without data sharing, thereby promoting privacy by design …
distributed training of AI models without data sharing, thereby promoting privacy by design …
A systematic review of federated learning: Challenges, aggregation methods, and development tools
BS Guendouzi, S Ouchani, HEL Assaad… - Journal of Network and …, 2023 - Elsevier
Since its inception in 2016, federated learning has evolved into a highly promising decentral-
ized machine learning approach, facilitating collaborative model training across numerous …
ized machine learning approach, facilitating collaborative model training across numerous …
A survey of machine and deep learning methods for privacy protection in the internet of things
Recent advances in hardware and information technology have accelerated the proliferation
of smart and interconnected devices facilitating the rapid development of the Internet of …
of smart and interconnected devices facilitating the rapid development of the Internet of …
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
P Esmaeilzadeh - Artificial Intelligence in Medicine, 2024 - Elsevier
Healthcare organizations have realized that Artificial intelligence (AI) can provide a
competitive edge through personalized patient experiences, improved patient outcomes …
competitive edge through personalized patient experiences, improved patient outcomes …
[HTML][HTML] User-centric privacy preserving models for a new era of the Internet of Things
JE Rivadeneira, JS Silva, R Colomo-Palacios… - Journal of Network and …, 2023 - Elsevier
New concepts based on the Internet of Things propose the integration of the human factor as
a key component of novel interconnected ecosystems, to offer them new services and …
a key component of novel interconnected ecosystems, to offer them new services and …
Differentially Private federated multi-task learning framework for enhancing human-to-virtual connectivity in human digital twin
SD Okegbile, J Cai, H Zheng… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Ensuring reliable update and evolution of a virtual twin in human digital twin (HDT) systems
depends on any connectivity scheme implemented between such a virtual twin and its …
depends on any connectivity scheme implemented between such a virtual twin and its …