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Hierarchical Federated Transfer Learning in Digital Twin-Based Vehicular Network

BACKGROUND
1 SIGNALFIRST DETECTED 14 August 2026
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14 Aug
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Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks

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20 Mar
FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning

arXiv:2603.19101v1 Announce Type: cross Abstract: FL has emerged as a transformative paradigm for ITS, notably camera-based Road Condition Classification (RCC). However, by

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Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization

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18 Sept
FedeRICo: Federated Region-Influenced Coupling for Traffic Flow Prediction

arXiv:2609.20026v1 Announce Type: new Abstract: Urban traffic forecasting often relies on information distributed across stakeholders who may be unable to share raw data due to

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20 Mar
Bridging Network Fragmentation: A Semantic-Augmented DRL Framework for UAV-aided VANETs

arXiv:2603.18871v1 Announce Type: new Abstract: Vehicular Ad-hoc Networks (VANETs) are the digital cornerstone of autonomous driving, yet they suffer from severe network

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3 Jul
Auto-FL-Research: Agentic Search for Federated Learning Algorithms

arXiv:2607.01366v1 Announce Type: new Abstract: Federated learning (FL) research often depends on many small but consequential algorithmic choices: optimizer variants, server

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27 Mar
FED-HARGPT: A Hybrid Centralized-Federated Approach of a Transformer-based Architecture for Human Context Recognition

arXiv:2603.24601v1 Announce Type: cross Abstract: The study explores a hybrid centralized-federated approach for Human Activity Recognition (HAR) using a Transformer-based

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FedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources

arXiv:2605.00011v1 Announce Type: cross Abstract: Federated Learning (FL) enables collaborative intelligence across decentralized data source devices in a privacy-preserving way.

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