Distributed machine learning platform has evolved into a full stack machine learning platform, ready for large scale deployment
SAN FRANCISCO – December 19, 2019 – The LF AI Foundation, the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI), machine learning (ML) and deep learning (DL), is announcing today that hosted project Angel is moving from an Incubation to a Graduation Level Project. This graduation is the result of Angel demonstrating thriving adoption, an ongoing flow of contributions from multiple organizations, and a documented and structured open governance process. Angel has achieved a Core Infrastructure Initiative Best Practices Badge, and demonstrated a strong commitment to community.
Angel is a distributed machine learning platform based on parameter server. It was open sourced by Tencent, the project founder, in July 2017 and then joined LF AI as an Incubation Project in August 2018. The initial focus of Angel was on sparse data and big model training. However, Angel now includes feature engineering, model training, hyper-parameter tuning and model serving, and has evolved into a full stack machine learning platform.
“With Angel, we’ve seen impressive speed in adding new features and rollout in large corporations at scale. With the 3.0 release of Angel, we have witnessed excellent progress in features, adoption and contributions in a short period of time,” said Dr. Ibrahim Haddad, Executive Director of the LF AI Foundation. “This is a big step forward signaling to the market a maturing open source technology ready for large scale deployment. Congratulations, Angel!”
More than 100 companies or institutions use Angel in products or inside the firewall. The extensive list of implementations includes well-known names like Weibo, Huawei, Xiaomi, Baidu, DiDi, and many more.
“We are excited to move from Incubation to Graduate Level Project in LF AI, and we see that as just another important milestone in the process, not the end goal. We need to continue to push both technically and with community outreach, to increase momentum, adoption and encourage additional contributions. We will continue to aim for lofty goals,” said Fitz Wang, Senior Researcher at Tencent, Angel Technical Project Lead. “We will be deeply involved in LF AI events in 2020 and present at several events under the LF AI booth. If you’d like to contribute to Angel, please reach out to us via our mailing lists and visit the LF AI booth at any of the LF events.”
Feature Roadmap for 2020
- Version 3.2 – Graph Computing, adding more algorithms
- Traditional graph algorithms: Closeness, HyperANF, more
- Graph Embedding algorithms: Node2Vec, DeepWalk
- Graph neural network: GraphSAGE
- Version 3.3 – Federated Learning
Angel Project Resources
LF AI Resources
- Become a Member of LF AI
- LF AI Foundation Interactive Landscape
- Upcoming LF AI Events
- LF AI Blog
- LF AI Twitter
- LF AI LinkedIn
- LF AI GitHub
- LF AI Wiki
About LF AI Foundation
The LF AI Foundation, a Linux Foundation project, accelerates and sustains the growth of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) open source projects. Backed by many of the world’s largest technology leaders, LF AI is a neutral space for harmonization and ecosystem engagement to advance AI, ML and DL innovation. To get involved with the LF AI Foundation, please visit https://lfai.foundation.
About Linux Foundation
Founded in 2000, the Linux Foundation is supported by more than 1,000 members and is the world’s leading home for collaboration on open source software, open standards, open data, and open hardware. Linux Foundation projects like Linux, Kubernetes, Node.js and more are considered critical to the development of the world’s most important infrastructure. Its development methodology leverages established best practices and addresses the needs of contributors, users and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org.
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