Asynchronous Active Learning with Distributed Label Querying Article Swipe
Sheng-Jun Huang
,
Chen-Chen Zong
,
Kun-Peng Ning
,
Haibo Ye
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.24963/ijcai.2021/354
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.24963/ijcai.2021/354
Active learning tries to learn an effective model with lowest labeling cost. Most existing active learning methods work in a synchronous way, which implies that the label querying can be performed only after the model updating in each iteration. While training models is usually time-consuming, it may lead to serious latency between two queries, especially in the crowdsourcing environments where there are many online annotators working simultaneously. This will significantly decrease the labeling efficiency and strongly limit the application of active learning in real tasks. To overcome this challenge, we propose a multi-server multi-worker framework for asynchronous active learning in the distributed environment. By maintaining two shared pools of candidate queries and labeled data respectively, the servers, the workers and the annotators efficiently corporate with each other without synchronization. Moreover, diverse sampling strategies from distributed workers are incorporated to select the most useful instances for model improving. Both theoretical analysis and experimental study validate the effectiveness of the proposed approach.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.24963/ijcai.2021/354
- https://www.ijcai.org/proceedings/2021/0354.pdf
- OA Status
- gold
- Cited By
- 14
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3188523428
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3188523428Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.24963/ijcai.2021/354Digital Object Identifier
- Title
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Asynchronous Active Learning with Distributed Label QueryingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-08-01Full publication date if available
- Authors
-
Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Haibo YeList of authors in order
- Landing page
-
https://doi.org/10.24963/ijcai.2021/354Publisher landing page
- PDF URL
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https://www.ijcai.org/proceedings/2021/0354.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.ijcai.org/proceedings/2021/0354.pdfDirect OA link when available
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Computer science, Asynchronous communication, Crowdsourcing, Server, Active learning (machine learning), Synchronization (alternating current), Latency (audio), Machine learning, Artificial intelligence, Distributed computing, Computer network, World Wide Web, Telecommunications, Channel (broadcasting)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
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2025: 4, 2024: 5, 2023: 3, 2022: 2Per-year citation counts (last 5 years)
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28Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| publication_date | 2021-08-01 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W2076118331, https://openalex.org/W1484084878, https://openalex.org/W3003492572, https://openalex.org/W2044200706, https://openalex.org/W2171671120, https://openalex.org/W2085989833, https://openalex.org/W2964043796, https://openalex.org/W2165484066, https://openalex.org/W2031326491, https://openalex.org/W2801356621, https://openalex.org/W2963191611, https://openalex.org/W2128518360, https://openalex.org/W3131727177, https://openalex.org/W2531958295, https://openalex.org/W2188373600, https://openalex.org/W2903158431, https://openalex.org/W2140115545, https://openalex.org/W2346321220, https://openalex.org/W2979625852, https://openalex.org/W2012878613, https://openalex.org/W2998186405, https://openalex.org/W2098742124, https://openalex.org/W3104659006, https://openalex.org/W2142550050, https://openalex.org/W2021732807, https://openalex.org/W2951911250, https://openalex.org/W1985327665, https://openalex.org/W2181558882 |
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