DynaFlow: Transparent and Flexible Intra-Device Parallelism via Programmable Operator Scheduling
arXiv 2605.21603•c5a25ad7379ff5d8956e4378f4fe45c3ff2595940e15ee86ef928bb77d275655
collective-communicationcustom-cryptographydata-leakageedge-computingintegrity-verificationmachine-learning-infrastructuremodel-confidentialitynetwork-multicastprivilege-escalationsecure-computationside-channel
Paper metadata
- arXiv ID
- 2605.21603
- 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
- c5a25ad7379ff5d8956e4378f4fe45c3ff2595940e15ee86ef928bb77d275655
- Enrichment time
- 2026-05-22T08:52:21Z
- AI-assisted enrichment
- Yes
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