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Ai in 6g: Energy - efficient distributed machine learning for multilayer heterogeneous networks

1 Pith paper cite this work. Polarity classification is still indexing.

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cs.NI 1

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2026 1

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A Survey on AI for 6G: Challenges and Opportunities

cs.NI · 2026-03-30 · accept · novelty 1.0

AI techniques including deep learning, reinforcement learning, and federated learning are positioned to enable high data rates, low latency, and massive connectivity in 6G networks while addressing scalability, security, and energy challenges.

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  • A Survey on AI for 6G: Challenges and Opportunities cs.NI · 2026-03-30 · accept · none · ref 4

    AI techniques including deep learning, reinforcement learning, and federated learning are positioned to enable high data rates, low latency, and massive connectivity in 6G networks while addressing scalability, security, and energy challenges.