Federated learning for smart cities: A comprehensive survey
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …
data, fog computing, and edge computing, smart city applications have suffered from issues …
Eight years of AutoML: categorisation, review and trends
Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …
applied in a large number of application domains. However, apart from the required …
FL-PMI: federated learning-based person movement identification through wearable devices in smart healthcare systems
Recent technological developments, such as the Internet of Things (IoT), artificial
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
Eppda: An efficient privacy-preserving data aggregation federated learning scheme
J Song, W Wang, TR Gadekallu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Federated learning (FL) is a kind of privacy-awaremachine learning, in which the machine
learning models are trained on the users' side and then the model updates are transmitted to …
learning models are trained on the users' side and then the model updates are transmitted to …
Deep learning approach for SDN-enabled intrusion detection system in IoT networks
Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the
number of IoT-based attacks has been growing yearly. The existing solutions may not …
number of IoT-based attacks has been growing yearly. The existing solutions may not …
Federated learning approach to protect healthcare data over big data scenario
The benefits and drawbacks of various technologies, as well as the scope of their
application, are thoroughly discussed. The use of anonymity technology and differential …
application, are thoroughly discussed. The use of anonymity technology and differential …
Particle swarm-based federated learning approach for early detection of forest fires
Y Supriya, TR Gadekallu - Sustainability, 2023 - mdpi.com
Forests are a vital part of the ecological system. Forest fires are a serious issue that may
cause significant loss of life and infrastructure. Forest fires may occur due to human or man …
cause significant loss of life and infrastructure. Forest fires may occur due to human or man …
Genetic clustered federated learning for COVID-19 detection
DR Kandati, TR Gadekallu - Electronics, 2022 - mdpi.com
Coronavirus (COVID-19) has caused a global disaster with adverse effects on global health
and the economy. Early detection of COVID-19 symptoms will help to reduce the severity of …
and the economy. Early detection of COVID-19 symptoms will help to reduce the severity of …
Federated learning approach for early detection of chest lesion caused by COVID-19 infection using particle swarm optimization
DR Kandati, TR Gadekallu - Electronics, 2023 - mdpi.com
The chest lesion caused by COVID-19 infection pandemic is threatening the lives and well-
being of people all over the world. Artificial intelligence (AI)-based strategies are efficient …
being of people all over the world. Artificial intelligence (AI)-based strategies are efficient …
A multi-perspective revisit to the optimization methods of Neural Architecture Search and Hyper-parameter optimization for non-federated and federated learning …
Abstract The use of Neural Architecture Search (NAS) techniques is becoming more
widespread. NAS methods have been essential for automating and accelerating the …
widespread. NAS methods have been essential for automating and accelerating the …