A collaborative data-selection method that scores each private sample's influence on a public anchor set and filters by a global threshold before federated learning or model merging.
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CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics
A collaborative data-selection method that scores each private sample's influence on a public anchor set and filters by a global threshold before federated learning or model merging.