A decentralized multi-agent training method with a shared and a private adapter claims O(1/sqrt(NK)) convergence and big communication savings, but the evidence is incomplete.
Lamm: Language- assisted multi-modal instruction-tuning dataset, frame- work, and benchmark,
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PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems
A decentralized multi-agent training method with a shared and a private adapter claims O(1/sqrt(NK)) convergence and big communication savings, but the evidence is incomplete.