SysML: The New Frontier of Machine Learning Systems
By Alexander J. Ratner, Dan Alistarh, Gustavo Alonso, D. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, E. Chung, B. Dally and 56 more. 2019
23 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Tian Li
- Anit Kumar Sahu
- Ameet Talwalkar
- Virginia Smith
- Zachary B. Charles
- Jianyu Wang
- Qinbin Li
- Sai Praneeth Karimireddy
Citations in the corpus
- Federated Learning: Challenges, Methods, and Future Directions (2019, background): “fundamental advances in areas such as privacy, large-scale machine learning, and distributed optimization, and raising new questions at the intersection of diverse fields, such as machine learning and systems [91].”