TinyFL: On-Device Training, Communication and Aggregation on a Microcontroller For Federated Learning
Author:
Affiliation:
1. Fraunhofer IMS,Embedded AI Department,Duisburg,Germany
2. University of Duisburg-Essen,Department of Electronic Components and Circuits,Duisburg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10198027/10198028/10198040.pdf?arnumber=10198040
Reference25 articles.
1. Federated Learning with Local Differential Privacy: Trade-Offs Between Privacy, Utility, and Communication
2. OCTOPUS: Overcoming Performance and Privatization Bottlenecks in Distributed Learning
3. On-Device Training of Machine Learning Models on Microcontrollers With a Look at Federated Learning
4. TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices
5. Differentially Private Federated Temporal Difference Learning
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