UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 6 | June 2025

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Published in:

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2308078


Registration ID:
522684

Page Number

a588-a596

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Title

A Survey of Emerging Trends in Artificial Intelligence: Federated Learning and GANs

Abstract

Deep learning has gained significant prominence in the field of artificial intelligence, bringing about revolutionary advancements across various domains and applications. The most promising emerging trends are Federated Learning, GANs. This comprehensive survey article aims to provide a detailed overview of Federated Learning, GANs, focusing on the platforms utilized for its implementation, the wide range of applications it encompasses, and the emerging research trends that are shaping the field. Through an exploration of the current landscape, this survey aims to offer valuable insights into the progress, achievements, and challenges encountered in Federated Learning, GANs, catering to researchers, practitioners, and decision-makers alike.

Key Words

artificial intelligence, deep learning, Federated Learning, GANs

Cite This Article

"A Survey of Emerging Trends in Artificial Intelligence: Federated Learning and GANs", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.a588-a596, August-2023, Available :http://www.jetir.org/papers/JETIR2308078.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Survey of Emerging Trends in Artificial Intelligence: Federated Learning and GANs", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppa588-a596, August-2023, Available at : http://www.jetir.org/papers/JETIR2308078.pdf

Publication Details

Published Paper ID: JETIR2308078
Registration ID: 522684
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: a588-a596
Country: Thane, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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