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Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks

arXiv · AI, language, vision and robotics · article · Sep 12, 2026 · UTC

As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI) evolves from an add-on optimization tool into a distributed and interconnected structural layer. Unlike previous network generations that mostly relied on centralized cloud analytics platforms, AI-native 6G networks operate across a dynamic, multi-domain edge-cloud continuum where data originates from heterogeneous sources including user devices, radio access networks, sensing infrastructures, and vertical applications. Centralizing this massive volume of data creates severe communica

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Evidence & attribution

First collected: 2026-09-20T12:41:04.663Z. This is not the publication date.