The authors identify a Golden Partition Zone based on an intra-class variance shift in entropy bounds that enables intrinsic model inversion resistance when partitioning neural networks for collaborative inference.
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2 Pith papers cite this work. Polarity classification is still indexing.
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CPGRec+ improves game recommendations on Steam data by reweighting player-game edges with signed preference strengths and using LLMs to generate preference-aware descriptions, yielding higher accuracy and diversity than prior models.
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Partitioning for Intrinsic Model Inversion Resistance in Collaborative Inference
The authors identify a Golden Partition Zone based on an intra-class variance shift in entropy bounds that enables intrinsic model inversion resistance when partitioning neural networks for collaborative inference.
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CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations
CPGRec+ improves game recommendations on Steam data by reweighting player-game edges with signed preference strengths and using LLMs to generate preference-aware descriptions, yielding higher accuracy and diversity than prior models.