AirMoE: Statistic-Augmented Over-the-Air MoE for Collaborative Intelligence
arXiv 2607.16562•f9448b19e46f5886bc7345817b5bb817b573f3b452a2fbc27df4f2a4870ca020
GPU inferenceI/O resource managementJensen–Shannon divergenceKubernetesMixture-of-ExpertsOCI imagesOracle Exadatacold-startcolocationdigest pinningdistributed scheduleredge inferencefeature-prototypeshash verificationkernel interferencemodel deliverymodel signingmodel supply-chain integrityorchestrationover-the-air aggregationrate limitingserverless LLMssession-aware servingstate management/runtime controlwireless ML
Paper metadata
- arXiv ID
- 2607.16562
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- f9448b19e46f5886bc7345817b5bb817b573f3b452a2fbc27df4f2a4870ca020
- Enrichment time
- 2026-07-21T08:52:23Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.