A hybrid PSO-ACO framework is proposed for selecting edge devices and routing model updates in federated multimodal LLM training, claiming 92% accuracy and 30% lower communication cost.
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A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments
A hybrid PSO-ACO framework is proposed for selecting edge devices and routing model updates in federated multimodal LLM training, claiming 92% accuracy and 30% lower communication cost.