[HTML][HTML] Model aggregation techniques in federated learning: A comprehensive survey
Federated learning (FL) is a distributed machine learning (ML) approach that enables
models to be trained on client devices while ensuring the privacy of user data. Model …
models to be trained on client devices while ensuring the privacy of user data. Model …
Blockchain-assisted UAV communication systems: A comprehensive survey
Unmanned aerial vehicles (UAVs) have recently established their capacity to provide cost-
effective and credible solutions for various real-world scenarios. UAVs provide an immense …
effective and credible solutions for various real-world scenarios. UAVs provide an immense …
Revolutionizing cyber threat detection with large language models
Natural Language Processing (NLP) domain is experiencing a revolution due to the
capabilities of Pre-trained Large Language Models (LLMs), fueled by ground-breaking …
capabilities of Pre-trained Large Language Models (LLMs), fueled by ground-breaking …
Revolutionizing cyber threat detection with large language models: A privacy-preserving bert-based lightweight model for iot/iiot devices
The field of Natural Language Processing (NLP) is currently undergoing a revolutionary
transformation driven by the power of pre-trained Large Language Models (LLMs) based on …
transformation driven by the power of pre-trained Large Language Models (LLMs) based on …
HCALA: Hyperelliptic curve-based anonymous lightweight authentication scheme for Internet of Drones
A drone is often called an” Unmanned Aerial Vehicle” or UAV. It is utilized in various civilian
and military applications, including agriculture, surveillance, and delivery of packages. A …
and military applications, including agriculture, surveillance, and delivery of packages. A …
Blockchain-assisted hybrid harris hawks optimization based deep DDoS attack detection in the IoT environment
The Internet of Things (IoT) is developing as a novel phenomenon that is applied in the
growth of several crucial applications. However, these applications continue to function on a …
growth of several crucial applications. However, these applications continue to function on a …
SecureBlock: An ML-blockchain consumer-centric sustainable solution for industry 5.0
Consumer Electronics (CE) are defined as one of the emerging trends where smart devices,
such as refrigerators, smart phones, or house hold devices, generate a huge amount of …
such as refrigerators, smart phones, or house hold devices, generate a huge amount of …
Exploring Deep Federated Learning for the Internet of Things: A GDPR-Compliant Architecture
With the emergence of intelligent services and applications powered by artificial intelligence
(AI), the Internet of Things (IoT) affects many aspects of our daily lives. Traditional …
(AI), the Internet of Things (IoT) affects many aspects of our daily lives. Traditional …
Revolutionizing intrusion detection in industrial IoT with distributed learning and deep generative techniques
In response to escalating cyber threats and privacy issues within the Industrial Internet of
Things (IIoT), this research presents FedGenID, an advanced Federated Generative …
Things (IIoT), this research presents FedGenID, an advanced Federated Generative …
Privacy-preserving in Blockchain-based Federated Learning systems
Federated Learning (FL) has recently arisen as a revolutionary approach to collaborative
training Machine Learning models. According to this novel framework, multiple participants …
training Machine Learning models. According to this novel framework, multiple participants …