An Asynchronous Federated Learning Arbitration Model for Low-Rate DDoS Attack Detection
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DOI: 10.1109/access.2023.3247512
Abstract: Low-rate Distributed Denial of Service (LDDoS) attacks have been one of the most notorious network security threats, which use periodic slight multi-variate time series pulse flows to degrade network quality. Limited by the poor data… read more here.
Keywords: learning arbitration; federated learning; low rate; attack detection ... See more keywords
A Triple-Step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement
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DOI: 10.1109/jiot.2022.3188556
Abstract: Federated Learning in asynchronous mode (AFL) is attracting much attention from both industry and academia to build intelligent cores for various Internet of Things (IoT) systems and services by harnessing sensitive data and idle computing… read more here.
Keywords: interaction; client; federated learning; triple step ... See more keywords
Efficient Asynchronous Federated Learning Research in the Internet of Vehicles
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3230412
Abstract: Federated learning (FL) is a distributed machine learning paradigm that ensures data do not leave local devices. Data sharing problems can be addressed by FL in untrusted environments, e.g., the Internet of Vehicles (IoV). However,… read more here.
Keywords: efficient asynchronous; federated learning; reduce communication; internet vehicles ... See more keywords