Edge-to-cloud swarm coordination is being developed for precision oncology workflows, leveraging embodied agent feedback loops for faster convergence and efficient inference across heterogeneous compute nodes. This architecture addresses challenges like data gravity, latency, privacy, and computational heterogeneity in clinical settings. A three-tier system involving edge devices, hospital clusters, and cloud resources facilitates this coordinated approach using contract-net protocols.
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