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Found 8 papers, 5 papers with code
Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense
A DFL scenario with physical and virtual deployments have been executed, encompassing three security configurations: (i) a baseline without security, (ii) an encrypted configuration, and (iii) a configuration integrating both encryption and MTD techniques.
Fedstellar: A Platform for Decentralized Federated Learning
To overcome these challenges, this paper presents Fedstellar, a platform extended from p2pfl library and designed to train FL models in a decentralized, semi-decentralized, and centralized fashion across diverse federations of physical or virtualized devices.
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
In recent years, Federated Learning (FL) has gained relevance in training collaborative models without sharing sensitive data.
Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography
However, the literature lacks a comprehensive evaluation of drowsiness detection performance using a heterogeneous set of ML algorithms, and it is necessary to study the performance of scalable ML models suitable for groups of subjects.
Data Fusion in Neuromarketing: Multimodal Analysis of Biosignals, Lifecycle Stages, Current Advances, Datasets, Trends, and Challenges
Despite these complexities, there is a lack of literature that adequately collates and organizes the various data sources and the applied processing techniques for the research objectives pursued.
Noise-based cyberattacks generating fake P300 waves in brain–computer interfaces
This work presents and analyzes the impact of four noise-based cyberattacks attempting to generate fake P300 waves in two different phases of a BCI framework.
Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling
This paper defines the first two neural cyberattacks, Neuronal Flooding (FLO) and Neuronal Scanning (SCA), where each threat can affect the natural activity of neurons.
Neurons and Cognition Cryptography and Security
Spotting political social bots in Twitter: A use case of the 2019 Spanish general election
While social media has been proved as an exceptionally useful tool to interact with other people and massively and quickly spread helpful information, its great potential has been ill-intentionally leveraged as well to distort political elections and manipulate constituents.
Social and Information Networks
