P4FL: An Architecture for Federating Learning With In-Network Processing
Author:
Affiliation:
1. Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy
2. Department of Computer Science, Saint Louis University, Saint Louis, MO, USA
Funder
Comcast
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
https://ieeexplore.ieee.org/ielam/6287639/10005208/10258272-aam.pdf
Reference38 articles.
1. APRON: an Architecture for Adaptive Task Planning of Internet of Things in Challenged Edge Networks
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3. P4
4. Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
5. Benchmarking semi-supervised federated learning;zhang;arXiv 2008 11364,2020
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