FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning

2026-08-11T07:23:44Zb8318ff38d29abe585e60c95f382df59a7291b510b41c8542a99bece4125dcca
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

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Record · FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning · Baitaphish