Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Keshi Ge"'
Autor:
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 34:1466-1478
Foundation models are becoming the dominant deep learning technologies. Pretraining a foundation model is always time-consumed due to the large scale of both the model parameter and training dataset. Besides being computing-intensive, the training pr
Publikováno v:
IEEE Journal on Selected Areas in Communications. 41:941-963
Publikováno v:
Science China Information Sciences. 66
Publikováno v:
2022 IEEE International Conference on Cluster Computing (CLUSTER).
Publikováno v:
2022 IEEE International Conference on Cluster Computing (CLUSTER).
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Publikováno v:
CLUSTER
Gradient quantization has been widely used in distributed training of deep neural network (DNN) models to reduce communication costs. However, existing quantization methods overlook that gradients have a nonuniform distribution changing over time, wh
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 21:587-603
Support vector machines (SVMs) have been recognized as a powerful tool to perform linear classification. When combined with the sparsity-inducing nonconvex penalty, SVMs can perform classification and variable selection simultaneously. However, the n
Publikováno v:
IWQoS
In the era of big data, web videos are known for their astronomical volume and great difficulties to be understood by computers. Therefore it is challenging to detect and curb tag pollution on social networking platforms. Intuitively, the pollution i