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08/07/2023
TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning
Industry 4.0 has brought numerous advantages, such as increasing product...
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07/21/2023
Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense
The rise of Decentralized Federated Learning (DFL) has enabled the train...
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06/16/2023
Fedstellar: A Platform for Decentralized Federated Learning
In 2016, Google proposed Federated Learning (FL) as a novel paradigm to ...
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12/06/2022
When Brain-Computer Interfaces Meet the Metaverse: Landscape, Demonstrator, Trends, Challenges, and Concerns
The metaverse has gained tremendous popularity in recent years, allowing...
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11/15/2022
Decentralized Federated Learning: Fundamentals, State-of-the-art, Frameworks, Trends, and Challenges
In the last decade, Federated Learning (FL) has gained relevance in trai...
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10/20/2022
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario
Federated learning (FL) allows participants to collaboratively train mac...
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09/08/2022
Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography
Drowsiness is a major concern for drivers and one of the leading causes ...
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08/30/2022
