Multi-objective Optimization for Over-the-Air Federated Edge Learning-enabled Collaborative Integrated Sensing and Communications

arXiv 2603.15783•a4141de6f6546c8bc35e54c66f79ed0bc28b5c4cd0753546f78f1113cb47d640
EAQECCISACLCD codesOTA-FEELQBERQKDadversarial MLantenna arrayscoding-theory securitydelayed CSIeavesdroppingentanglement-assisted QECCfederated learningintegrated sensing and communicationsmodel privacymovable antennasmulti-agent reinforcement learningmutual couplingnon-GRS codesover-the-air federated learningpinching antenna systemsprivacy riskquantum key distributionrotatable antennassatellite communications

Paper metadata

arXiv ID
2603.15783
Version
Not specified by this published record
Category
Mathematics — Information Theory (math.IT)

The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.

Evidence and limitations

Source ID
arxiv_math_it
Record identifier
a4141de6f6546c8bc35e54c66f79ed0bc28b5c4cd0753546f78f1113cb47d640
Enrichment time
2026-03-18T08:51:53Z
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.

Multi-objective Optimization for Over-the-Air Federated Edge Learning-enabled Collaborative Integrated Sensing and Communications · Baitaphish