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FedQueue tackles the Achilles' heel of federated learning on HPC clusters - unpredictable queue delays - by explicitly modeling and mitigating their impact, leading to significant speedups.
Foundation models can accelerate scientific computation, but only if they respect physical laws and safety limits, a challenge this paper tackles by deriving design principles for constrained scientific foundation models.
