Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks
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 communication overhead, unacceptable latency bottlenecks, single points of failure, and complex cross-doma...
| Authors | Giovanni Perin, Michele Rossi, Enrique Tomás Martínez Beltrán et al. |
|---|---|
| Primary category | cs.NI |
| Published | 12 September 2026 |
| Last updated at source | 12 September 2026 |
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