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Learned Gradient Compression for Distributed Deep Learning.

, , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (12): 7330-7344 (2022)

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Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases., , , , , and . BMC Medical Informatics Decis. Mak., 22 (1): 93 (2022)Entropy-Based Feature Extraction for Real-Time Semantic Segmentation., and . ICIP, page 591-595. IEEE, (2022)Gradient Variance Loss for Structure-Enhanced Image Super-Resolution., , , and . ICASSP, page 3219-3223. IEEE, (2022)Learned Gradient Compression for Distributed Deep Learning., , , and . CoRR, (2021)Automatic Extrinsic Calibration of Camera Networks Based on Pedestrians., , , , and . ICDSC, page 1:1-1:6. ACM, (2019)Learned Gradient Compression for Distributed Deep Learning., , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (12): 7330-7344 (2022)Autoencoder-Based Gradient Compression for Distributed Training., , , and . EUSIPCO, page 2179-2183. IEEE, (2021)Bias Loss for Mobile Neural Networks., , , and . ICCV, page 6536-6546. IEEE, (2021)Automatic Multi-Camera Extrinsic Parameter Calibration Based on Pedestrian Torsors †., , , , and . Sensors, 19 (22): 4989 (2019)