110 citations · 512 across the 28 of their papers we have counts for
5 papers · 1 filter
SparDL: Distributed Deep Learning Training with Efficient Sparse Communication
Minjun Zhao, Yichen Yin, Yuren Mao +3
Top-k sparsification has recently been widely used to reduce the communication volume in distributed deep learning. However, due to the Sparse Gradient Accumulation (SGA) dilemma,…
Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories
Danlei Hu, Ziquan Fang, Hanxi Fang +4
Transportation mode classification, the process of predicting the class labels of moving objects transportation modes, has been widely applied to a variety of real world applicatio…
FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning
Keyu Yang, Lu Chen, Zhihao Zeng +1
With the rapid increase of big data, distributed Machine Learning (ML) has been widely applied in training large-scale models. Stochastic Gradient Descent (SGD) is arguably the wor…
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories
Ziquan Fang, Yuntao Du, Xinjun Zhu +3
Trajectory similarity computation has drawn massive attention, as it is core functionality in a wide range of applications such as ride-sharing, traffic analysis, and social recomm…
Finding Materialized Models for Model Reuse
Minjun Zhao, Lu Chen, Keyu Yang +2
Materialized model query aims to find the most appropriate materialized model as the initial model for model reuse. It is the precondition of model reuse, and has recently attracte…