Small models, big impact: A review on the power of lightweight Federated Learning-Reference-Cited by-同舟云学术

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Small models, big impact: A review on the power of lightweight Federated Learning

Published:2025-01 Issue: Volume:162 Page:107484
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Qi Pian,Chiaro Diletta,Piccialli Francesco^ORCID

Publisher

Elsevier BV

Reference146 articles.

1. A survey on federated learning;Zhang;Knowl.-Based Syst.,2021

2. FL-FD: Federated learning-based fall detection with multimodal data fusion;Qi;Inf. Fusion,2023

3. Federated distillation and blockchain empowered secure knowledge sharing for internet of medical things;Zhou;Inform. Sci.,2024

4. Leveraging asynchronous federated learning to predict customers financial distress;Imteaj;Intell. Syst. Appl.,2022

5. Personalized federation learning with model-contrastive learning for multi-modal user modeling in human-centric metaverse;Zhou;IEEE J. Sel. Areas Commun.,2024

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