FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning
2026-08-11T07:23:44Z•b8318ff38d29abe585e60c95f382df59a7291b510b41c8542a99bece4125dcca
5GCVSSEPSSIDSIoT-securityLLM-agentsO-RANSDNSOARaction-assuranceautomated-mitigationedge-computingfederated-learningnetwork-operationsnetworking-researchspectrum-coexistencevulnerability-managementwireless-security
What happened
This document is an arXiv security- and networking-relevant feed containing research on federated edge learning, spectrum coexistence, orchestrated vulnerability management, wireless-network action assurance, data-center load balancing, wireless planning, deterministic networking, and O-RAN drone operations. The primary security-focused work proposes adaptive vulnerability assessment, EPSS/CVSS- and context-aware prioritization, and automated SDN/IDS mitigation for heterogeneous and IoT networks. Other papers address operational safety, stale telemetry, automated network changes, and depend
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- b8318ff38d29abe585e60c95f382df59a7291b510b41c8542a99bece4125dcca
- Enrichment time
- 2026-08-11T07:23:44Z
- 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.