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Review on approaches of federated modeling in anomaly-based intrusion detection for IoT devices
The novelty of Federated Learning (FL) has emerged as a promising alternative to
centralized machine learning systems in the context of anomaly-based intrusion detection …
centralized machine learning systems in the context of anomaly-based intrusion detection …
An explainable multi-modal model for advanced cyber-attack detection in industrial control systems
Abstract The convergence of Industrial Control Systems (ICS) and intelligent Internet of
Things (IoT) technologies has rendered ICS more vulnerable to a growing range of cyber …
Things (IoT) technologies has rendered ICS more vulnerable to a growing range of cyber …
Resource-efficient federated learning over IoAT for rice leaf disease classification
Rice is an important staple food in Asia. It is produced and consumed in large quantities. It
contributes to 15% of protein intake and 21% of total per capita energy intake in the region …
contributes to 15% of protein intake and 21% of total per capita energy intake in the region …
[HTML][HTML] Privacy-Preserving Federated Learning-Based Intrusion Detection Technique for Cyber-Physical Systems
The Internet of Things (IoT) has revolutionized various industries, but the increased
dependence on all kinds of IoT devices and the sensitive nature of the data accumulated by …
dependence on all kinds of IoT devices and the sensitive nature of the data accumulated by …
Federated Learning–Based Model to Lightweight IDSs for heterogeneous IoT Networks: State-of-the-Art, Challenges and Future Directions.
A large number of Internet of Things (IoT) devices have been deployed in numerous
applications (eg, smart homes, healthcare, smart grids, manufacturing processes, and …
applications (eg, smart homes, healthcare, smart grids, manufacturing processes, and …
[HTML][HTML] Federated multi-label learning (FMLL): Innovative method for classification tasks in animal science
Simple Summary This study addresses the classification task in animal science, which helps
organize and analyze complex data, essential for making informed decisions. It introduces …
organize and analyze complex data, essential for making informed decisions. It introduces …
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools
Abstract Machine learning is one of the most widely used technologies in the field of Artificial
Intelligence. As machine learning applications become increasingly ubiquitous, concerns …
Intelligence. As machine learning applications become increasingly ubiquitous, concerns …
[HTML][HTML] Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering
M Baqer - Future Internet, 2024 - mdpi.com
Federated learning (FL) has emerged as a promising solution for the Internet of Things (IoT),
facilitating distributed artificial intelligence while ensuring communication efficiency and data …
facilitating distributed artificial intelligence while ensuring communication efficiency and data …
Federated learning for multi-institutional on 3D brain tumor segmentation
Accurate segmentation of brain tumours images is crucial for diagnosis, treatment planning,
and monitoring of disease progression. However, acquiring sufficient medical imaging data …
and monitoring of disease progression. However, acquiring sufficient medical imaging data …
Edge Computing Enabled Anomaly Detection in IoT Environments Using Federated Learning
This research explores the integration of edge computing and unified learning procedures
for peculiarity locations in Internet of Things (IoT) situations. Four inconsistency discovery …
for peculiarity locations in Internet of Things (IoT) situations. Four inconsistency discovery …