ReclaimNet: Reclaim-Aware Network Protocols for Voluntary GPU Sharing on Campus
2026-05-29T07:23:54Z•7ed59770670be9908d813134e1959eb5fa35bc2cecdf107d2905e719d2efed84
5GGPU sharingLEO/satelliteOpen RANPCAPRAN securitySIMsStarlinkTraceCodecUAVadversarial-MLdigital twindistributed AI traininggreen energynetworkingns-3protocol stackquantum networksquantum-MLreinforcement learningresource reclamationtraffic-generationwireless
What happened
Collection of recent networking and systems research (May 2026) covering: reclaim-aware GPU sharing (ReclaimNet) for campus resources; network optimization and cooperative perception for connected/autonomous vehicles; ARIADNE — RL-based link adaptation in digital-twin RAN environments; TraceCodec — a compiler-backed, stateful neural codec for high-fidelity multi-flow PCAP generation; an ns-3 framework for intent-based Open RAN orchestration; Dyna-5G — dynamic role switching for resilient 5G M2M fleets; renewable-aware distributed AI training across micro-datacenters; quantum-enhanced RL forSIM
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- 7ed59770670be9908d813134e1959eb5fa35bc2cecdf107d2905e719d2efed84
- Enrichment time
- 2026-05-29T07:23:54Z
- 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.