User contributions
4 October 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
References
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
References
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
References
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
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Embedded Environment
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3 October 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Introduction
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Virtual environment
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2 October 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Virtual environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Virtual environment
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29 September 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Cloud environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Local environment
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Ease of use
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Ease of use
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Results
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28 September 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Results
+1,274
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Privacy and security
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Advanced comparison
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Frameworks in-depth comparison: Flower vs NVFlare
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Documentation and tutorials
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Final choice
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Final choice
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Final choice
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Final choice
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Final choice
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Model configuration
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Model configuration
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
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27 September 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Frameworks Comparison
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Choosing Federated learning frameworks
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
no edit summary
+2,042
21 September 2023
MISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana
U0001 moved page MISC-TN-029 — Running Glances on SBCSPG to MISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana without leaving a redirect
mMISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana
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File:MISC-TN-029-BD.png
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MISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana
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MISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana
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MISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana
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MISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana
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MISC-TN-026: Automated test equipment (ATE) monitoring with SBCSPG gateway, ThingsBoard IoT, and Fledge
Introduction
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MISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana
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File:Sbcspg-glances-grafana-2.png
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MISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana
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MISC-TN-029 — A monitoring system for IoT devices with Glances, InfluxDB, and Grafana
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