Abstract: This paper presents the dynamic hierarchical attention graph neural network (DHA-GNN), an innovative framework designed for real-time task allocation in UAV swarms navigating complex, ...
Abstract: Hierarchical Federated Learning (HFL) has emerged as a promising paradigm for distributed machine learning in edge computing environments. By introducing intermediate edge servers between ...
Most AI agents run everything on expensive models. But 80% of agent tasks are routine: file reads, status checks, formatting, simple Q&A. You're paying $15-75/M tokens for work that $0.14/M tokens ...
This page outlines potential improvements to PaperBanana's architecture and areas where research contributions would be valuable. These range from incremental enhancements to fundamental architectural ...
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