Balancing Federated Learning Trade-Offs for Heterogeneous Environments
Author:
Affiliation:
1. University of Chicago,Department of Computer Science,Chicago,IL,United States
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10149845/10150216/10150228.pdf?arnumber=10150228
Reference12 articles.
1. FLoX: Federated Learning with FaaS at the Edge
2. Study of the performance and scalability of federated learning for medical imaging with intermittent clients;díaz;Neurocomputing,2023
3. Adam: A method for stochastic optimization;kingma;ArXiv Preprint,2014
4. funcX: A Federated Function Serving Fabric for Science
5. Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures
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1. Tournament-Based Pretraining to Accelerate Federated Learning;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12
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