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Found 7 papers, 4 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.
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario
However, there is a lack of work evaluating the robustness of decentralized vertical FL and comparing it with horizontal FL architectures affected by adversarial attacks.
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.
