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A distributed multi-agent deep reinforcement learning scheme, combined with federated learning, significantly reduces energy consumption and guarantees latency requirements for joint computation offloading and interference coordination in small cell networks. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Multi-Agent Deep Reinforcement Learning for Computation Offloading and Interference Coordination in Small Cell Networks

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