Low Resource Vs High Resource solutions for Federated learning sentiment analysis

Aarushi Sethi; Kwok Tai Chui; Brij B. Gupta; Varsha Arya; Aniello Castiglione; Justin Zhang

doi:10.1109/ICCE56470.2023.10043544

Low Resource Vs High Resource solutions for Federated learning sentiment analysis

Aarushi Sethi, Kwok Tai Chui, Brij B. Gupta, Varsha Arya, Aniello Castiglione, Justin Zhang

Management

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	2023 IEEE International Conference on Consumer Electronics, ICCE 2023
ISBN (Electronic)	9781665491303
DOIs	https://doi.org/10.1109/ICCE56470.2023.10043544
State	Published - 2023
Event	2023 IEEE International Conference on Consumer Electronics, ICCE 2023 - Las Vegas, United States Duration: Jan 6 2023 → Jan 8 2023

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume	2023-January
ISSN (Print)	0747-668X

Conference

Conference	2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Country/Territory	United States
City	Las Vegas
Period	1/6/23 → 1/8/23

ASJC Scopus Subject Areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Keywords

BERT
Federated learning
RNN

Access to Document

10.1109/ICCE56470.2023.10043544

Cite this

Sethi, A., Chui, K. T., Gupta, B. B., Arya, V., Castiglione, A., & Zhang, J. (2023). Low Resource Vs High Resource solutions for Federated learning sentiment analysis. In 2023 IEEE International Conference on Consumer Electronics, ICCE 2023 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2023-January). https://doi.org/10.1109/ICCE56470.2023.10043544

Low Resource Vs High Resource solutions for Federated learning sentiment analysis. / Sethi, Aarushi; Chui, Kwok Tai; Gupta, Brij B. et al.
2023 IEEE International Conference on Consumer Electronics, ICCE 2023. 2023. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2023-January).

Research output: Chapter or Contribution to Book › Literary contribution

Sethi, A, Chui, KT, Gupta, BB, Arya, V, Castiglione, A & Zhang, J 2023, Low Resource Vs High Resource solutions for Federated learning sentiment analysis. in 2023 IEEE International Conference on Consumer Electronics, ICCE 2023. Digest of Technical Papers - IEEE International Conference on Consumer Electronics, vol. 2023-January, 2023 IEEE International Conference on Consumer Electronics, ICCE 2023, Las Vegas, United States, 1/6/23. https://doi.org/10.1109/ICCE56470.2023.10043544

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title = "Low Resource Vs High Resource solutions for Federated learning sentiment analysis",

keywords = "BERT, Federated learning, RNN",

author = "Aarushi Sethi and Chui, {Kwok Tai} and Gupta, {Brij B.} and Varsha Arya and Aniello Castiglione and Justin Zhang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Consumer Electronics, ICCE 2023 ; Conference date: 06-01-2023 Through 08-01-2023",

year = "2023",

doi = "10.1109/ICCE56470.2023.10043544",

language = "English",

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M3 - Literary contribution

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T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

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Low Resource Vs High Resource solutions for Federated learning sentiment analysis

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this