Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning-Reference-Cited by-同舟云学术

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Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning

Published:2023-10-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Caldarola Debora¹,Caputo Barbara¹,Ciccone Marco¹

Affiliation:

1. Politecnico di Torino

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350693.pdf?arnumber=10350693

Reference53 articles.

1. Federated learning based on dynamic regularization;Emre Acar

2. Improving Generalization in Federated Learning by Seeking Flat Minima

3. Leaf: A benchmark for federated settings;Caldas

4. Towards understanding biased client selection in federated learning;Cho

5. ImageNet: A large-scale hierarchical image database

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DDPG-AdaptConfig: A deep reinforcement learning framework for adaptive device selection and training configuration in heterogeneity federated learning;Future Generation Computer Systems;2024-09

2. Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients;IEEE Access;2024

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