Federated Learning for Decentralized DDoS Attack Detection in IoT Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3378727
Abstract: In the ever-expanding domain of Internet of Things (IoT) networks, Distributed Denial of Service (DDoS) attacks represent a significant challenge, compromising the reliability of these systems. Traditional centralized detection methods struggle to cope effectively in… read more here.
Keywords: detection; decentralized ddos; iot networks; federated learning ... See more keywords
Towards Private Learning on Decentralized Graphs With Local Differential Privacy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3198283
Abstract: Many real-world networks are inherently decentralized. For example, in social networks, each user maintains a local view of a social graph, such as a list of friends and her profile. It is typical to collect… read more here.
Keywords: towards private; learning decentralized; local differential; privacy ... See more keywords
Confederated Learning: Federated Learning With Decentralized Edge Servers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3241768
Abstract: Federated learning (FL) is an emerging machine learning paradigm that allows to accomplish model training without aggregating data at a central server. Most studies on FL consider a centralized framework, in which a single server… read more here.
Keywords: confederated learning; decentralized edge; federated learning; learning federated ... See more keywords