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 …

A survey on federated learning: The journey from centralized to distributed on-site learning and beyond

S AbdulRahman, H Tout… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Driven by privacy concerns and the visions of deep learning, the last four years have
witnessed a paradigm shift in the applicability mechanism of machine learning (ML). An …

A survey on soft computing techniques for federated learning-applications, challenges and future directions

Y Supriya, TR Gadekallu - ACM Journal of Data and Information Quality, 2023 - dl.acm.org
Federated Learning is a distributed, privacy-preserving machine learning model that is
gaining more attention these days. Federated Learning has a vast number of applications in …

Federated learning as a privacy solution-an overview

M Khan, FG Glavin, M Nickles - Procedia Computer Science, 2023 - Elsevier
Abstract The Fourth Industrial Revolution suggests smart and automated industrial solutions
by incorporating Artificial Intelligence into it. Today, the world of technology is highly …

Federated learning challenges and opportunities: An outlook

J Ding, E Tramel, AK Sahu, S Wu… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Federated learning (FL) has been developed as a promising framework to leverage the
resources of edge devices, enhance customers' privacy, comply with regulations, and …

Secure smart communication efficiency in federated learning: Achievements and challenges

S Pouriyeh, O Shahid, RM Parizi, QZ Sheng… - Applied Sciences, 2022 - mdpi.com
Federated learning (FL) is known to perform machine learning tasks in a distributed manner.
Over the years, this has become an emerging technology, especially with various data …

Federated learning: A survey on enabling technologies, protocols, and applications

M Aledhari, R Razzak, RM Parizi, F Saeed - IEEE Access, 2020 - ieeexplore.ieee.org
This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
on enabling software and hardware platforms, protocols, real-life applications and use …

From distributed machine learning to federated learning: In the view of data privacy and security

S Shen, T Zhu, D Wu, W Wang… - … : Practice and Experience, 2022 - Wiley Online Library
Federated learning is an improved version of distributed machine learning that further
offloads operations which would usually be performed by a central server. The server …

A survey on federated learning

C Zhang, Y Xie, H Bai, B Yu, W Li, Y Gao - Knowledge-Based Systems, 2021 - Elsevier
Federated learning is a set-up in which multiple clients collaborate to solve machine
learning problems, which is under the coordination of a central aggregator. This setting also …

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 …