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.
Joint coding and scheduling optimization for distributed learning over wireless edge networks
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A Survey on AI for 6G: Challenges and Opportunities
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.