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FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning
Client-wise heterogeneity is one of the major issues that hinder effecti...
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Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment
Emerging resistive random-access memory (ReRAM) has recently been intens...
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