research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
12/04/2020
A Minimax Game for Resilient-by-design Adaptive Traffic Control Systems
Connected and Autonomous Vehicles (CAVs) with their evolving data gather...
research
∙
07/16/2020
Actor-based Risk Analysis for Blockchains in Smart Mobility
Blockchain technology is a crypto-based secure ledger for data storage a...
research
∙
07/10/2020
