USENIX Symposium on Operating Systems Design and Implementation / 2020

KungFu: Making Training in Distributed Machine Learning Adaptive

Luo Mai, Guo Li, Marcel Wagenländer, Konstantinos Fertakis, Andrei-Octavian Brabete, P. Pietzuch

Computer VisionML SystemsPopular and Landmark PapersReinforcement Learning

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91 citations5 influential

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Title: KungFu: Making Training in Distributed Machine Learning Adaptive
Authors: Luo Mai, Guo Li, Marcel Wagenländer, Konstantinos Fertakis, Andrei-Octavian Brabete, P. Pietzuch
Year: 2020
Venue: USENIX Symposium on Operating Systems Design and Implementation
Categories: Computer Vision, ML Systems, Popular and Landmark Papers, Reinforcement Learning
Citations: 91
Paper URL: https://www.semanticscholar.org/paper/b5b2dad83e10c335e4c079e69b7a11fb79cc10b1
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Learning resources:
- Google Scholar: Google Scholar references (https://scholar.google.com/scholar?q=KungFu%3A%20Making%20Training%20in%20Distributed%20Machine%20Learning%20Adaptive)
- Papers with Code: Papers with Code search (https://paperswithcode.com/search?q=KungFu%3A%20Making%20Training%20in%20Distributed%20Machine%20Learning%20Adaptive)
- Semantic Scholar: Semantic Scholar paper page (https://www.semanticscholar.org/paper/b5b2dad83e10c335e4c079e69b7a11fb79cc10b1)
- YouTube: YouTube explanations (https://www.youtube.com/results?search_query=KungFu%3A%20Making%20Training%20in%20Distributed%20Machine%20Learning%20Adaptive+paper+explained)