When Scaling Fails: Network and Fabric Effects on Distributed GPU Training Performance
arXiv 2603.04424•f091a4f6a685728855241da77b0dad1d6ede3c98daa82eb44fc16c878ee3085e
DRL auction manipulationEnvoy external processorLLM routingO-CUO-DUO-RANO-RUPII leakageRI S allocationadversarial MLautomotive/avionics safetycellular securitycongestion dynamicsdenial-of-servicedistributed GPU traininginference privacyjailbreak detectionlegacy 2G/3Gmessage groupingmulti-cloud routingnetwork fabricnetwork topologysynchronization amplificationtime-triggered schedulingvLLM Semantic Router
Paper metadata
- arXiv ID
- 2603.04424
- Version
- Not specified by this published record
- Category
- Computer Science — Networking and Internet Architecture (cs.NI)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- f091a4f6a685728855241da77b0dad1d6ede3c98daa82eb44fc16c878ee3085e
- Enrichment time
- 2026-03-06T07:23:53Z
- 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.