SCOPE: Semantic Coreset with Orthogonal Projection Embeddings for Federated learning
SCOPE: Semantic Coreset with Orthogonal Projection Embeddings for Federated learning explores SCOPE is a federated learning framework that optimizes data selection to improve accuracy and efficiency in class-imbalanced datasets.. Commercial viability score: 6/10 in Federated Learning.
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