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09/30/2022
Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning
Federated Learning (FL) is a machine learning technique that addresses t...
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05/11/2022
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference
As the most significant data source in smart mobility systems, GPS traje...
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09/11/2021
On the Initial Behavior Monitoring Issues in Federated Learning
In Federated Learning (FL), a group of workers participate to build a gl...
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02/26/2021
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems
Federated learning (FL) is a machine learning technique that aims at tra...
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01/24/2021
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation
Federated Learning (FL) is a paradigm in Machine Learning (ML) that addr...
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12/04/2020
A Minimax Game for Resilient-by-design Adaptive Traffic Control Systems
Connected and Autonomous Vehicles (CAVs) with their evolving data gather...
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07/16/2020
Actor-based Risk Analysis for Blockchains in Smart Mobility
Blockchain technology is a crypto-based secure ledger for data storage a...
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07/10/2020