1.4k citations · 2k across the 34 of their papers we have counts for
8 papers · 1 filter
Practical Federated Gradient Boosting Decision Trees
Qinbin Li, Zeyi Wen, Bingsheng He
Gradient Boosting Decision Trees (GBDTs) have become very successful in recent years, with many awards in machine learning and data mining competitions. There have been several rec…
Adaptive Kernel Value Caching for SVM Training
Qinbin Li, Zeyi Wen, Bingsheng He
Support Vector Machines (SVMs) can solve structured multi-output learning problems such as multi-label classification, multiclass classification and vector regression. SVM training…
Privacy-Preserving Gradient Boosting Decision Trees
Qinbin Li, Zhaomin Wu, Zeyi Wen +1
The Gradient Boosting Decision Tree (GBDT) is a popular machine learning model for various tasks in recent years. In this paper, we study how to improve model accuracy of GBDT whil…
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Qinbin Li, Zeyi Wen, Zhaomin Wu +5
Federated learning has been a hot research topic in enabling the collaborative training of machine learning models among different organizations under the privacy restrictions. As…
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures
Shuhao Zhang, Jiong He, Amelie Chi Zhou +1
We introduce BriskStream, an in-memory data stream processing system (DSPSs) specifically designed for modern shared-memory multicore architectures. BriskStream's key contribution…
Towards Concurrent Stateful Stream Processing on Multicore Processors (Technical Report)
Shuhao Zhang, Yingjun Wu, Feng Zhang +1
Recent data stream processing systems (DSPSs) can achieve excellent performance when processing large volumes of data under tight latency constraints. However, they sacrifice suppo…
A Survey on Graph Processing Accelerators: Challenges and Opportunities
Chuangyi Gui, Long Zheng, Bingsheng He +4
Graph is a well known data structure to represent the associated relationships in a variety of applications, e.g., data science and machine learning. Despite a wealth of existing e…
Efficient Memory Management for GPU-based Deep Learning Systems
Junzhe Zhang, Sai Ho Yeung, Yao Shu +2
GPU (graphics processing unit) has been used for many data-intensive applications. Among them, deep learning systems are one of the most important consumer systems for GPU nowadays…