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The PAC-MCoFL multi-agent reinforcement learning framework improves total reward by 5.8% and hypervolume indicator by 4.2% over existing MARL solutions in non-cooperative federated learning ecosystems. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Pareto Actor-Critic for Communication and Computation Co-Optimization in Non-Cooperative Federated Learning Services

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