Article · 2019
“Active Federated Learning” (with Kshitiz Malik, Duc Bui, Seungwhan Moon, Honglei Liu & Anuj Kumar)
Publication
- Title
- “Active Federated Learning” (with Kshitiz Malik, Duc Bui, Seungwhan Moon, Honglei Liu & Anuj Kumar)
- Author
- Jack Goetz (Columbia College, Class of 2014)
- Form
- Article
- First published
- 2019
- Publisher
- arXiv/NeurIPS federated-learning workshop
Complete works of Jack Goetz (6)
- 2017 “Online Multiclass Boosting” (with Young Hun Jung & Ambuj Tewari) · NIPS 2017 proceedings
- 2018 “Active Learning for Non-Parametric Regression Using Purely Random Trees” (with Ambuj Tewari & Paul M. Zimmerman) · NeurIPS 2018 proceedings
- 2019 “Active Federated Learning” (with Kshitiz Malik, Duc Bui, Seungwhan Moon, Honglei Liu & Anuj Kumar) · arXiv/NeurIPS federated-learning workshop this record
- 2020 “What Does the Machine Learn? Knowledge Representations of Chemical Reactivity” (with Joshua Kammeraad, Eric Walker, Ambuj Tewari & Paul M. Zimmerman) · Journal of Chemical Information and Modeling, 60(3)
- 2022 “FedSynth: Gradient Compression via Synthetic Data in Federated Learning” (with Shengyuan Hu, Kshitiz Malik, Hongyuan Zhan, Zhe Liu & Yue Liu) · arXiv/CoRR preprint
- 2023 “Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels” (with Danilo Neves Ribeiro et al.) · arXiv/CoRR preprint
Cite this record
Goetz, Jack. “Active Federated Learning” (with Kshitiz Malik, Duc Bui, Seungwhan Moon, Honglei Liu & Anuj Kumar). arXiv/NeurIPS federated-learning workshop, 2019.
Foundation record: https://philolexianfoundation.org/members/goetz-jack-cc-2014/active-federated-learning-with-kshitiz-malik-duc-bui-seungwhan-moon-honglei-liu--2019.html