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SeedFlood: A Step Toward Scalable Decentralized Fine-Tuning of LLMs
This work presents SeedFlood, a new approach to decentralized LLM fine-tuning designed to scale across large models, large collaborations, and complex network topologies while achieving global consensus with negligible communication overhead. Traditional methods suffer from high communication costs
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