A Semi-Asynchronous Decentralized Federated Learning Framework via Tree-Graph Blockchain-Reference-Cited by-同舟云学术

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A Semi-Asynchronous Decentralized Federated Learning Framework via Tree-Graph Blockchain

Published:2024-05-20 Issue: Volume:35 Page:1121-1130
ISSN:
Container-title:IEEE INFOCOM 2024 - IEEE Conference on Computer Communications
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Author:

Zhang Cheng¹,Xu Yang¹,Wu Xiaowei¹,Wang En²,Jiang Hongbo¹,Zhang Yaoxue³

Affiliation:

1. Hunan University,College of Computer Science and Electronic Engineering,Changsha,China

2. Jilin University,College of Computer Science and Technology,Changchun,China

3. Tsinghua University,BNRist,Department of Computer Science and Technology,Beijing,China

Funder

National Natural Science Foundation of China

Training Program for Excellent Young Innovators of Changsha

Hunan Provincial Innovation Foundation for Postgraduate

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621050/10621073/10621425.pdf?arnumber=10621425

Reference35 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan

2. Federated Learning for Smart Healthcare: A Survey

3. Federated Learning in Mobile Edge Networks: A Comprehensive Survey

4. Poisoning-Assisted Property Inference Attack Against Federated Learning

5. A Fast Blockchain-Based Federated Learning Framework With Compressed Communications

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