Federated Learning: A Survey of a New Approach to Machine Learning-Reference-Cited by-同舟云学术

Federated Learning: A Survey of a New Approach to Machine Learning

Published:2022-02-16 Issue: Volume: Page:
ISSN:
Container-title:2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
language:
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Author:

Hussain G. K. Jakir¹,Manoj G.²

Affiliation:

1. KPR Institute of Engineering and Technology,Department of Electronics and Communication Engineering,Coimbatore,India

2. Karunya Institute of Technology and Sciences,Department of Electronics and Communication Engineering,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9768398/9768400/09768446.pdf?arnumber=9768446

Reference35 articles.

1. Towards Blockchain-Based Reputation-Aware Federated Learning

2. Mobile edge computing, blockchain and reputation-based crowdsourcing iot federated learning: A secure, decentralized and privacypreserving system;zhao;ArXiv Preprint,2019

3. Collaborative machine learning with incentive-aware model rewards;sim;Proc of ICML,2020

4. Towards efficient data valuation based on the shapley value;jia;Proc of AISTATS,2019

5. Mechanism design for multi-party machine learning;chen;ArXiv Preprint,2020

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1. A Fair Contribution Measurement Method for Federated Learning;Sensors;2024-07-31

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3. Federated learning based on asynchronous and adjusted client training;Physical Communication;2023-12

4. Federated Learning- Hope and Scope;IgMin Research;2023-11-16

5. An End-Process Blockchain-Based Secure Aggregation Mechanism Using Federated Machine Learning;Electronics;2023-11-05