ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients-Reference-Cited by-同舟云学术

ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Ilhan Fatih¹,Su Gong²,Liu Ling¹

Affiliation:

1. Georgia Institute of Technology,Atlanta,GA

2. IBM Research,Yorktown Heights,NY

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204267.pdf?arnumber=10204267

Reference35 articles.

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2. Bert loses patience: Fast and robust inference with early exit;zhou;Advances in neural information processing systems,2020

3. Advances and Open Problems in Federated Learning

4. Character-level convolutional networks for text classification;zhang;Advances in neural information processing systems,2015

5. Adaptive Inference through Early-Exit Networks

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