FedCCL: Federated dual-clustered feature contrast under domain heterogeneity-Reference-Cited by-同舟云学术

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FedCCL: Federated dual-clustered feature contrast under domain heterogeneity

Published:2025-01 Issue: Volume:113 Page:102645
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Qiao Yu^ORCID,Le Huy Q.,Zhang Mengchun,Adhikary Apurba,Zhang Chaoning,Hong Choong Seon

Funder

Kyung Hee University

Publisher

Elsevier BV

Reference79 articles.

1. Blockiotintelligence: A blockchain-enabled intelligent IoT architecture with artificial intelligence;Singh;Future Gener. Comput. Syst.,2020

2. Federated learning for internet of things: Recent advances, taxonomy, and open challenges;Khan;IEEE Commun. Surv. Tutor.,2021

3. Federated learning for internet of things: A comprehensive survey;Nguyen;IEEE Commun. Surv. Tutor.,2021

4. Advances and open problems in federated learning;Kairouz;Found. Trends® Mach. Learn.,2021

5. Contrastive encoder pre-training-based clustered federated learning for heterogeneous data;Tun;Neural Netw.,2023

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