1k citations · 2.3k across the 48 of their papers we have counts for
13 papers · 1 filter
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems
Yizheng Huang, Huaizheng Zhang, Yonggang Wen +2
MLOps is about taking experimental ML models to production, i.e., serving the models to actual users. Unfortunately, existing ML serving systems do not adequately handle the dynami…
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale
Yuanming Li, Huaizheng Zhang, Shanshan Jiang +3
AI engineering has emerged as a crucial discipline to democratize deep neural network (DNN) models among software developers with a diverse background. In particular, altering thes…
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang, Xin Gan, Yonggang Wen +1
Academia and industry have developed several platforms to support the popular privacy-preserving distributed learning method -- Federated Learning (FL). However, these platforms ar…
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
Huaizheng Zhang, Meng Shen, Yizheng Huang +4
DNN-based video analytics have empowered many new applications (e.g., automated retail). Meanwhile, the proliferation of fog devices provides developers with more design options to…
MLModelCI: An Automatic Cloud Platform for Efficient MLaaS
Huaizheng Zhang, Yuanming Li, Yizheng Huang +3
MLModelCI provides multimedia researchers and developers with a one-stop platform for efficient machine learning (ML) services. The system leverages DevOps techniques to optimize,…
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes
Peng Sun, Wansen Feng, Ruobing Han +2
It is important to scale out deep neural network (DNN) training for reducing model training time. The high communication overhead is one of the major performance bottlenecks for di…
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
Hongshan Li, Chenghao Hu, Jingyan Jiang +3
Recent years have witnessed a rapid growth of deep-network based services and applications. A practical and critical problem thus has emerged: how to effectively deploy the deep ne…
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph…
Speeding-up Age Estimation in Intelligent Demographics System via Network Optimization
Zhenzhen Hui, Peng Sun, Yonggang Wen
Age estimation is a difficult task which requires the automatic detection and interpretation of facial features. Recently, Convolutional Neural Networks (CNNs) have made remarkable…
GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph…
GraphH: High Performance Big Graph Analytics in Small Clusters
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
It is common for real-world applications to analyze big graphs using distributed graph processing systems. Popular in-memory systems require an enormous amount of resources to hand…
Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
Many cluster management systems (CMSs) have been proposed to share a single cluster with multiple distributed computing systems. However, none of the existing approaches can handle…
MetaFlow: a Scalable Metadata Lookup Service for Distributed File Systems in Data Centers
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
In large-scale distributed file systems, efficient meta- data operations are critical since most file operations have to interact with metadata servers first. In existing distribut…