Applications of federated learning; taxonomy, challenges, and research trends

M Shaheen, MS Farooq, T Umer, BS Kim - Electronics, 2022 - mdpi.com
The federated learning technique (FL) supports the collaborative training of machine
learning and deep learning models for edge network optimization. Although a complex edge …

Challenges, applications and design aspects of federated learning: A survey

KMJ Rahman, F Ahmed, N Akhter, M Hasan… - IEEE …, 2021 - ieeexplore.ieee.org
Federated learning (FL) is a new technology that has been a hot research topic. It enables
the training of an algorithm across multiple decentralized edge devices or servers holding …

A comprehensive survey on federated learning techniques for healthcare informatics

K Dasaradharami Reddy… - Computational …, 2023 - Wiley Online Library
Healthcare is predominantly regarded as a crucial consideration in promoting the general
physical and mental health and well‐being of people around the world. The amount of data …

Federated learning review: Fundamentals, enabling technologies, and future applications

S Banabilah, M Aloqaily, E Alsayed, N Malik… - Information processing & …, 2022 - Elsevier
Federated Learning (FL) has been foundational in improving the performance of a wide
range of applications since it was first introduced by Google. Some of the most prominent …

Federated learning systems for healthcare: perspective and recent progress

Y Kumar, R Singla - … Learning Systems: Towards Next-Generation AI, 2021 - Springer
In the medical or healthcare industry, where, the already available information or data is
never sufficient, excellence can be performed with the help of Federated Learning (FL) by …

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 …

Adoption of federated learning for healthcare informatics: Emerging applications and future directions

VA Patel, P Bhattacharya, S Tanwar, R Gupta… - IEEE …, 2022 - ieeexplore.ieee.org
The smart healthcare system has improved the patients quality of life (QoL), where the
records are being analyzed remotely by distributed stakeholders. It requires a voluminous …

Federated learning: Applications, challenges and future directions

S Bharati, M Mondal, P Podder… - International Journal of …, 2022 - content.iospress.com
Federated learning (FL) refers to a system in which a central aggregator coordinates the
efforts of several clients to solve the issues of machine learning. This setting allows the …

Federated learning for healthcare: Systematic review and architecture proposal

RS Antunes, C André da Costa, A Küderle… - ACM Transactions on …, 2022 - dl.acm.org
The use of machine learning (ML) with electronic health records (EHR) is growing in
popularity as a means to extract knowledge that can improve the decision-making process in …

Decentralized federated learning: A survey and perspective

L Yuan, Z Wang, L Sun, SY Philip… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Federated learning (FL) has been gaining attention for its ability to share knowledge while
maintaining user data, protecting privacy, increasing learning efficiency, and reducing …