Proceedings of the First Workshop on Federated Learning for Natural Language Processing (FL4NLP 2022) Article Swipe
Jae Hun Ro
,
Theresa Breiner
,
Lara McConnaughey
,
Mingqing Chen
,
Ananda Theertha Suresh
,
Shankar Kumar
,
Rajiv Mathews Google
,
Xinwei Wu
,
Li Gong
,
Deyi Xiong
,
Salman Avestimehr
,
Melas-Kyriazi Luke
,
Jae Hun
,
Anit Kumar Sahu
,
Eric W. Tramel
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2022.fl4nlp-1
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2022.fl4nlp-1
In the context of personalized federated learning (FL), the critical challenge is to balance local model improvement and global model tuning when the personal and global objectives may not be exactly aligned.Inspired by Bayesian hierarchical models, we develop Act-PerFL, a self-aware personalized FL method where each client can automatically balance the training of its local personal model and the global model that implicitly contributes to other clients' training.Such a balance is derived from the inter-client and intra-client uncertainty quantification.Consequently, Act-PerFL can adapt to the underlying clients' heterogeneity with uncertainty-driven local training and model aggregation.With experimental studies on Sent140 and Amazon Alexa audio data, we show that ActPerFL can achieve superior personalization performance compared with the existing counterparts.
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- Type
- paratext
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/2022.fl4nlp-1
- https://aclanthology.org/2022.fl4nlp-1.pdf
- OA Status
- gold
- References
- 108
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285119424
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4285119424Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18653/v1/2022.fl4nlp-1Digital Object Identifier
- Title
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Proceedings of the First Workshop on Federated Learning for Natural Language Processing (FL4NLP 2022)Work title
- Type
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paratextOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews Google, Xinwei Wu, Li Gong, Deyi Xiong, Salman Avestimehr, Melas-Kyriazi Luke, Jae Hun, Anit Kumar Sahu, Eric W. TramelList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/2022.fl4nlp-1Publisher landing page
- PDF URL
-
https://aclanthology.org/2022.fl4nlp-1.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://aclanthology.org/2022.fl4nlp-1.pdfDirect OA link when available
- Concepts
-
Computer science, Natural language processing, Natural (archaeology), Artificial intelligence, Programming language, Natural language, History, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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108Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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