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TaiJiNet: Towards Partial Binarized Convolutional Neural Network for Embedded Systems.

, , , , , , , , and . ISVLSI, page 136-141. IEEE Computer Society, (2018)

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TaiJiNet: Towards Partial Binarized Convolutional Neural Network for Embedded Systems., , , , , , , , and . ISVLSI, page 136-141. IEEE Computer Society, (2018)Federated learning with workload-aware client scheduling in heterogeneous systems., , , , , , , and . Neural Networks, (2022)Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market., , , , and . CoRR, (2023)FedGroup: Efficient Federated Learning via Decomposed Similarity-Based Clustering., , , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 228-237. IEEE, (2021)Forseti: An Efficient Basic-block-level Sensitivity Analysis Framework Towards Multi-bit Faults., , , , , and . DATE, page 94-97. IEEE, (2021)FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework., , , , , , , and . IEEE Trans. Parallel Distributed Syst., 34 (3): 1007-1019 (March 2023)A machine learning assisted data placement mechanism for hybrid storage systems., , , , , , and . J. Syst. Archit., (2021)Lazy repair with temporary redundancy(LRTR): reducing repair network traffic in erasure-coded storage., , , , , , and . CF, page 85-93. ACM, (2022)CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework., , , , , , , and . IJCNN, page 1-10. IEEE, (2021)Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems., , , , , and . IEEE Trans. Parallel Distributed Syst., 32 (1): 59-71 (2021)