AINeutralarXiv – CS AI · 3h ago6/10
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HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
Researchers introduce HEART, a novel framework for efficient multi-model federated learning across vehicle-edge-cloud architectures that addresses training latency and resource allocation challenges in IoV systems. The solution combines hybrid synchronous-asynchronous aggregation with optimized task scheduling using particle swarm optimization and genetic algorithms.