Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications-Reference-Cited by-同舟云学术

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Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications

Published:2024-05-20 Issue: Volume: Page:801-810
ISSN:
Container-title:IEEE INFOCOM 2024 - IEEE Conference on Computer Communications
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Author:

Wang Zibo¹,Zhu Yifei¹,Wang Dan²,Han Zhu³

Affiliation:

1. Shanghai Jiao Tong University,UM-SJTU Joint Institute

2. The Hong Kong Polytechnic University,Department of Computing

3. University of Houston,Department of Electrical and Computer Engineering

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621050/10621073/10621294.pdf?arnumber=10621294

Reference45 articles.

1. Japan’s nft strategy for the web 3.0 era,2023

2. Introduction to web3,2023

3. Web 3.0 blockchain market size, share & trends analysis report by blockchain type, by application (cryptocurrency, conversational ai, data & transaction storage), by end use, by region, and segment forecasts, 2023 - 2030,2023

4. Brave,2023

5. Efficient Frequent Pattern Mining on Web Logs

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