Recent applications of federated learning in edge and IoT environments: A review

MJ Diván, ML Sánchez-Reynoso… - 2021 5th International …, 2021 - ieeexplore.ieee.org
The Internet of Things has been raised as an alternative for implementing different data
collection strategies. Because of the limited hardware, it is complemented with edge …

A novel edge-based multi-layer hierarchical architecture for federated learning

F De Rango, A Guerrieri, P Raimondo… - 2021 IEEE Intl Conf …, 2021 - ieeexplore.ieee.org
In the last few years, Internet of Things (IoT) devices are multiplicating their presence in our
daily life. This means that the data generated in our houses, offices, and common places is …

Federated learning in IoT: A survey on distributed decision making

RT Hameed, OA Mohamad - … Journal of Internet …, 2023 - journals.mesopotamian.press
The proliferation of Internet of Things (IoT) devices has ushered in an era of unprecedented
data generation, necessitating innovative approaches to extract valuable insights while …

Communication and computation efficiency in federated learning: A survey

ORA Almanifi, CO Chow, ML Tham, JH Chuah… - Internet of Things, 2023 - Elsevier
Federated Learning is a much-needed technology in this golden era of big data and Artificial
Intelligence, due to its vital role in preserving data privacy, and eliminating the need to …

Resource optimizing federated learning for use with IoT: A systematic review

LGF da Silva, DFH Sadok, PT Endo - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract Recently, Federated Learning (FL) has been explored as a new paradigm that
preserves both data privacy and end-users knowledge while reducing latency during model …

[HTML][HTML] Scalable and interoperable edge-based federated learning in IoT contexts

C Campolo, G Genovese, G Singh, A Molinaro - Computer Networks, 2023 - Elsevier
The analysis of data coming from massively deployed Internet of Things (IoT) devices pave
the way to a myriad of intelligent applications in several vertical domains. Federated …

Engineering federated learning systems: A literature review

H Zhang, J Bosch, H Holmström Olsson - Software Business: 11th …, 2021 - Springer
With the increasing attention on Machine Learning applications, more and more companies
are involved in implementing AI components into their software products in order to improve …

Federated learning for big data: A survey on opportunities, applications, and future directions

TR Gadekallu, QV Pham, T Huynh-The… - arXiv preprint arXiv …, 2021 - arxiv.org
Big data has remarkably evolved over the last few years to realize an enormous volume of
data generated from newly emerging services and applications and a massive number of …

Af-dndf: Asynchronous federated learning of deep neural decision forests

H Zhang, J Bosch, HH Olsson… - 2021 47th euromicro …, 2021 - ieeexplore.ieee.org
In recent years, with more edge devices being put into use, the amount of data that is
created, transmitted and stored is increasing exponentially. Moreover, due to the …

Enhancing communication efficiency in federated machine learning: Current trends and future directions

P Goel, I Rana, B Sharma - AIP Conference Proceedings, 2024 - pubs.aip.org
Artificial Intelligence is an incessantly evolving and progressing technology. Machines can
exhibit humanoid intelligence, every now and then even better than humans. Its models are …