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NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration., , , , , , , , , и . Sci. China Inf. Sci., (апреля 2023)FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update., , , , и . CIKM, стр. 3283-3287. ACM, (2021)RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models., , , , и . CoRR, (2021)Accelerating CNN Training by Pruning Activation Gradients., , , , , , и . ECCV (25), том 12370 из Lecture Notes in Computer Science, стр. 322-338. Springer, (2020)S2 Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks., , , , , и . IEEE Trans. Computers, 71 (6): 1440-1452 (2022)Accelerating CNN Training by Sparsifying Activation Gradients., , , , и . CoRR, (2019)SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training., , , , , , , и . DAC, стр. 1-6. IEEE, (2020)KwaiYiiMath: Technical Report., , , , , , , , , и 11 other автор(ы). CoRR, (2023)NAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration., , , , , , , , , и . CoRR, (2022)S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks., , , , , и . CoRR, (2021)