InFEDge: A Blockchain-Based Incentive Mechanism in Hierarchical Federated Learning for End-Edge-Cloud Communications-Reference-Cited by-同舟云学术

InFEDge: A Blockchain-Based Incentive Mechanism in Hierarchical Federated Learning for End-Edge-Cloud Communications

Author:

Wang Xiaofei¹^ORCID,Zhao Yunfeng¹^ORCID,Qiu Chao¹^ORCID,Liu Zhicheng¹^ORCID,Nie Jiangtian²^ORCID,Leung Victor C. M.³^ORCID

Affiliation:

1. School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China

2. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

3. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy

Research and Innovation Project for Postgraduates in Tianjin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference65 articles.

1. Throughput-optimal topology design for cross-silo federated learning;marfoq;Proc NeurIPS,2020

2. Gossip-based actor-learner architectures for deep reinforcement learning;assran;Proc NeurIPS,2019

3. Model pruning enables efficient federated learning on edge devices;jiang;CoRR,2019

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