Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design
arXiv 2604.08812•1245471d2c0073030976236913de352ba5892f03b9d31f769c971054f9e90a43
CFTDAG-based consensusLLM energy benchmarkingML securityNOMADReference-Oriented StorageTensorHubXFEDbayesian optimal experimental designconsensus protocolsdistributed graph embeddingsedge MLenergy-aware inferencefederated learningheterogeneous GPUshigh-performance computingmobile LLMsmodel poisoningmulti-GPUnon-collusive attackquantizationreinforcement learningtsunami early warningweight transferwide-area networks
Paper metadata
- arXiv ID
- 2604.08812
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- 1245471d2c0073030976236913de352ba5892f03b9d31f769c971054f9e90a43
- Enrichment time
- 2026-04-13T08:52:29Z
- AI-assisted enrichment
- Yes
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