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Status and Issue of Research and Application of Machine Unlearning
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- SAKURAI Kouichi
- Kyushu University
Bibliographic Information
- Other Title
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- マシン・アンラーニングの研究と応用に関する現状と課題
- Published
- 2023
- DOI
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- 10.11517/pjsai.jsai2023.0_2l1gs1105
- Publisher
- The Japanese Society for Artificial Intelligence
Description
<p>Two topics with related machine unlearning are introduced. The first one is the pioneering domestic research in the 2010, which. was presented before proposing the notion of machine unlearning on 2015. The second one is about Federated Unlearning, which is getting hot in recent research as unlearn-version of Google’s federated learning. This report is a kind of addendum to the undersigned author’s article in the special section entitled "Research Trends in AI Security" on Artificial Intelligence Vol. 38 No. 2 (March 2023).</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2023 (0), 2L1GS1105-2L1GS1105, 2023
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390578283197887872
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- ISSN
- 27587347
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed