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Quantum-Enhanced Federated Chaotic Transformer Framework for Ultra-Low Latency and Secure Multi-Site Telesurgery in 6G- Enabled Networks

2025-08-28

Abstract excerpt

<title>Abstract</title> <p>The next generation of telesurgery demands quantum-resilient, ultra-low latency, and highly secure distributed AI frameworks capable of functioning across heterogeneous clinical sites. Building on prior federated learning-based telesurgery frameworks, this research introduces a Quantum-Enhanced Chaotic Gated Transformer Learning (Q-CGTL) architecture designed for real-time, multi-site s...

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Literature Corpus work
5d281005-a7b8-5adb-814a-9916f16a0eb9
DOI
10.21203/rs.3.rs-7363876/v1
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Quantum-Enhanced Federated Chaotic Transformer Framework for Ultra-Low Latency and Secure Multi-Site Telesurgery in 6G- Enabled NetworksDOI 10.21203/rs.3.rs-7363876/v1
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