WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy-Reference-Cited by-同舟云学术

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WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Lian Zhuotao¹,Yang Qinglin²,Zeng Qingkui³,Su Chunhua¹

Affiliation:

1. Univeristy of Aizu,School of Computer Science and Engineering,Aizuwakamatsu,Japan

2. Sun Yat-sen University,College of Intelligent Systems Engineering,Shenzhen,China

3. Nanjing University of Information Science & Technology,School of Electronics and Information Engineering,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838421.pdf?arnumber=9838421

Reference20 articles.

1. Open source column: Deep learning in the browser

2. A Novel Browser-based No-code Machine Learning Application Development Tool

3. WebSocket in real time application

4. Progressive Web Apps: The Possible Web-native Unifier for Mobile Development

5. Privacy-preserving and bandwidth-efficient federated learning

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Local differential privacy and its applications: A comprehensive survey;Computer Standards & Interfaces;2024-04

2. WebFLex: A Framework for Web Browsers-Based Peer-to-Peer Federated Learning Systems Using WebRTC;Computers, Materials & Continua;2024

3. A Comparative Analysis of Federated Learning Techniques on On-Demand Platforms in Supporting Modern Web Browser Applications;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

4. AHP-Based Assessment of Developing Online Virtual Reality Services with Progressive Web Apps;Communications in Computer and Information Science;2022

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