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An Adaptive System Architecture for Multimodal Intelligent Transportation Systems
In this paper, we provide an adaptive, user-centric, and layered architecture for multimodal transportation systems.
On the Sum Secrecy Rate Maximisation for Wireless Vehicular Networks
We address these security concerns from a physical layer security aspect by investigating achievable secrecy rates in wireless vehicular networks.
The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies
Blockchain promises to enhance distributed machine learning (ML) approaches such as federated learning (FL) by providing further decentralization, security, immutability, and trust, which are key properties for enabling collaborative intelligence in next-generation applications.
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