Federated Few-shot Learning-Reference-Cited by-同舟云学术

Federated Few-shot Learning

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Wang Song¹^ORCID,Fu Xingbo¹^ORCID,Ding Kaize²^ORCID,Chen Chen¹^ORCID,Chen Huiyuan³^ORCID,Li Jundong¹^ORCID

Affiliation:

1. University of Virginia, Charlottesville, VA, USA

2. Arizona State University, Tempe, AZ, USA

3. Case Western Reserve University, Cleveland, OH, USA

Funder

IIS

Cisco Faculty Research Award

Jefferson Lab subcontract

JP Morgan Chase Faculty Research Award

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599347

Reference63 articles.

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2. Christopher Briggs Zhong Fan and Peter Andras. 2020. Federated learning with hierarchical clustering of local updates to improve training on non-IID data. In IJCNN. Christopher Briggs Zhong Fan and Peter Andras. 2020. Federated learning with hierarchical clustering of local updates to improve training on non-IID data. In IJCNN.

3. Duc Bui , Kshitiz Malik , Jack Goetz , Honglei Liu , Seungwhan Moon , Anuj Kumar , and Kang G Shin . 2019. Federated user representation learning. arXiv preprint arXiv:1909.12535 ( 2019 ). Duc Bui, Kshitiz Malik, Jack Goetz, Honglei Liu, Seungwhan Moon, Anuj Kumar, and Kang G Shin. 2019. Federated user representation learning. arXiv preprint arXiv:1909.12535 (2019).

4. Soumen Chakrabarti. 2002. Mining the Web: Discovering knowledge from hypertext data. Morgan Kaufmann. Soumen Chakrabarti. 2002. Mining the Web: Discovering knowledge from hypertext data. Morgan Kaufmann.

5. A machine learning approach to web page filtering using content and structure analysis

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