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Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
With more regulations tackling users' privacy-sensitive data protection in recent years, access to such data has become increasingly restricted and controversial.
Compiler-Level Matrix Multiplication Optimization for Deep Learning
Compiler-level optimization of GEMM has significant performance impact on training and executing deep learning models.
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