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

2026-03-18T08:51:53Za4141de6f6546c8bc35e54c66f79ed0bc28b5c4cd0753546f78f1113cb47d640
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

What happened

This collection contains research on integrated sensing-and-communications (ISAC) and advanced wireless/multi-agent methods with several papers that have direct security and privacy relevance: (1) OTA-FEEL-enabled collaborative ISAC that jointly performs over‑the‑air federated edge learning (FEEL) and target sensing (dual‑use surveillance/privacy risk); (2) hardware and waveform-level ISAC advances (pinching antennas, movable/rotatable antennas, mutual‑coupling exploitation) that improve sensing/directivity and thus may enable higher‑fidelity passive/active surveillance or counter-surveillance

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_math_it
Record identifier
a4141de6f6546c8bc35e54c66f79ed0bc28b5c4cd0753546f78f1113cb47d640
Enrichment time
2026-03-18T08:51:53Z
AI-assisted enrichment
Yes

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