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Model Sparsification for Communication-Efficient Multi-Party Learning Via Contrastive Distillation in Image Classification

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE(2024)

Cited 4|Views11
Key words
Data models,Computational modeling,Servers,Adaptation models,Training,Feature extraction,Performance evaluation,Multi-party learning,model sparsification,contrastive distillation,efficient communication
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