[HTML][HTML] 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 …
A decade of research in fog computing: Relevance, challenges, and future directions
SN Srirama - Software: Practice and Experience, 2024 - Wiley Online Library
Recent developments in the Internet of Things (IoT) and real‐time applications, have led to
the unprecedented growth in the connected devices and their generated data. Traditionally …
the unprecedented growth in the connected devices and their generated data. Traditionally …
Review on security of federated learning and its application in healthcare
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …
progress has been made on many complex medical problems. However, there is a lack of …
A privacy preserving framework for federated learning in smart healthcare systems
W Wang, X Li, X Qiu, X Zhang, V Brusic… - Information Processing & …, 2023 - Elsevier
Federated Learning (FL) is a platform for smart healthcare systems that use wearables and
other Internet of Things enabled devices. However, source inference attacks (SIAs) can infer …
other Internet of Things enabled devices. However, source inference attacks (SIAs) can infer …
On the feasibility of federated learning towards on-demand client deployment at the edge
Nowadays, researchers are investing their time and devoting their efforts in developing and
motivating the 6G vision and resources that are not available in 5G. Edge computing and …
motivating the 6G vision and resources that are not available in 5G. Edge computing and …
Artificial intelligence implication on energy sustainability in Internet of Things: A survey
The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …
continuously increasing. The operations of these devices rely on consuming huge amounts …
PPFchain: A novel framework privacy-preserving blockchain-based federated learning method for sensor networks
Abstract Internet of Things (IoT) has been widely used in many smart applications such as
smart cities, smart agriculture, healthcare, industry, etc. In addition, the importance of IoT …
smart cities, smart agriculture, healthcare, industry, etc. In addition, the importance of IoT …
Fedclip: Fast generalization and personalization for clip in federated learning
Federated learning (FL) has emerged as a new paradigm for privacy-preserving
computation in recent years. Unfortunately, FL faces two critical challenges that hinder its …
computation in recent years. Unfortunately, FL faces two critical challenges that hinder its …
Boosted federated learning based on improved Particle Swarm Optimization for healthcare IoT devices
EH Houssein, A Sayed - Computers in Biology and Medicine, 2023 - Elsevier
As healthcare data becomes increasingly available from various sources, including clinical
institutions, patients, insurance companies, and pharmaceutical industries, machine …
institutions, patients, insurance companies, and pharmaceutical industries, machine …
Secure federated learning with fully homomorphic encryption for iot communications
NM Hijazi, M Aloqaily, M Guizani… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The emergence of the Internet of Things (IoT) has revolutionized people's daily lives,
providing superior quality services in cognitive cities, healthcare, and smart buildings …
providing superior quality services in cognitive cities, healthcare, and smart buildings …