Decentralized Task Scheduling in Distributed Systems: A Deep Reinforcement Learning Approach
arXiv 2603.24738•ef4c65b924975b26a531aa718d7cc06d921380cb21303a039c43016a92c60034
GPU-infrastructureKubernetesarXivautonomous-agentsblockchaindistributed-systemseBPFfederated-learningidentitymachine-learningresearch
Paper metadata
- arXiv ID
- 2603.24738
- 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
- ef4c65b924975b26a531aa718d7cc06d921380cb21303a039c43016a92c60034
- Enrichment time
- 2026-08-16T13:05:59Z
- AI-assisted enrichment
- Yes
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