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FedeRICo: Federated Region-Influenced Coupling for Traffic Flow Prediction

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1 SIGNALFIRST DETECTED 18 September 2026
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18 Sept
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27 Mar
Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks

arXiv:2603.25334v1 Announce Type: new Abstract: Distributed intelligence in industrial networks increasingly integrates sensing, communication, and computation across

REPORT · WHAT · ArXiv CS.AIOPEN STORY
30 Sept
AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

arXiv:2609.36119v1 Announce Type: new Abstract: Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks. While existing

REPORT · WHAT · ArXiv CS.AIOPEN STORY
24 Jun
Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach

arXiv:2606.24237v1 Announce Type: new Abstract: Federated Graph Learning facilitates collaborative graph modeling across distributed clients while preserving data privacy.

REPORT · WHAT · ArXiv CS.AIOPEN STORY
8 Apr
EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks

arXiv:2604.05254v1 Announce Type: new Abstract: Modern logistics networks generate rich operational data streams at every warehouse node and transportation lane -- from order

REPORT · WHAT · ArXiv CS.AIOPEN STORY
14 Aug
Hierarchical Federated Transfer Learning in Digital Twin-Based Vehicular Networks

arXiv:2608.11532v1 Announce Type: cross Abstract: In recent research on the Digital Twin-based Vehicular Ad hoc Network(DT-VANET), Federated Learning (FL) has shown its ability to

REPORT · WHEN · ArXiv CS.AIOPEN STORY
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

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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