More from the Same Authors

• 2022 Poster: POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging »
  Shishir G. Patil · Paras Jain · Prabal Dutta · Ion Stoica · Joseph E Gonzalez
• 2022 Spotlight: POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging »
  Shishir G. Patil · Paras Jain · Prabal Dutta · Ion Stoica · Joseph E Gonzalez
• 2022 : Trends Driving Big Models »
  Ion Stoica
• 2022 Tutorial: Welcome to the "Big Model" Era: Techniques and Systems to Train and Serve Bigger Models »
  Hao Zhang · Lianmin Zheng · Zhuohan Li · Ion Stoica
• 2021 Poster: ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training »
  Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
• 2021 Oral: ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training »
  Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
• 2020 Poster: Variable Skipping for Autoregressive Range Density Estimation »
  Eric Liang · Zongheng Yang · Ion Stoica · Pieter Abbeel · Yan Duan · Peter Chen
• 2020 Poster: FetchSGD: Communication-Efficient Federated Learning with Sketching »
  Daniel Rothchild · Ashwinee Panda · Enayat Ullah · Nikita Ivkin · Ion Stoica · Vladimir Braverman · Joseph E Gonzalez · Raman Arora
• 2019 Workshop: AI in Finance: Applications and Infrastructure for Multi-Agent Learning »
  Prashant Reddy · Tucker Balch · Michael Wellman · Senthil Kumar · Ion Stoica · Edith Elkind
• 2018 Poster: RLlib: Abstractions for Distributed Reinforcement Learning »
  Eric Liang · Richard Liaw · Robert Nishihara · Philipp Moritz · Roy Fox · Ken Goldberg · Joseph E Gonzalez · Michael Jordan · Ion Stoica
• 2018 Oral: RLlib: Abstractions for Distributed Reinforcement Learning »
  Eric Liang · Richard Liaw · Robert Nishihara · Philipp Moritz · Roy Fox · Ken Goldberg · Joseph E Gonzalez · Michael Jordan · Ion Stoica