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Found 5 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.
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets
The article at hand studies the recent growth of the device behavior fingerprinting field in terms of application scenarios, behavioral sources, and processing and evaluation techniques.
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
