A D2D-Aided Federated Learning Scheme With Incentive Mechanism in 6G Networks-Reference-Cited by-同舟云学术

A D2D-Aided Federated Learning Scheme With Incentive Mechanism in 6G Networks

Published:2023 Issue: Volume:11 Page:107-117
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fantacci Romano¹^ORCID,Picano Benedetta¹^ORCID

Affiliation:

1. Department of Information Engineering, University of Florence, Florence, Italy

Funder

“RESearch and innovation on future Telecommunications systems and networks, to make Italy more smART” (Restart PE14)–Research Program Prevasive Communications–Spoke 1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10001759.pdf?arnumber=10001759

Reference32 articles.

1. FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots

2. Blockchain-based Node-aware Dynamic Weighting Methods for Improving Federated Learning Performance

3. A Hybrid Architecture for Federated and Centralized Learning

4. Mobile Reconfigurable Intelligent Surfaces for NOMA Networks: Federated Learning Approaches

5. Matching Theory: Applications in wireless communications

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