User contributions
6 October 2023
File:PPSU3-example1.png
no edit summary
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
Hardware design
+12
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
Hardware design
+28
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
no edit summary
+439
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
Hardware design
+638
File:PPSU-PPSUv3.png
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File:PPSU-PPSUv2.png
no edit summary
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
Power supply anomalies resilience test
+464
File:PPSU3-PCB.png
no edit summary
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
Introduction
-34
5 October 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
History
+1
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Conclusions and future work
+942
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Results analysis
+182
File:NVFlare-server-validation-accuracy.png
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File:NVFlare-local-training-loss.png
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Advanced system design
+3,769
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Execution time
+24
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Advanced system design
+200
4 October 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Results
+23
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
+23
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Virtual environment
+24
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Local environment
+24
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Final choice
+24
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Conclusions and future work
+3
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Applying NVFlare to a real-word case
+4,952
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Cloud environment
+1,884
File:Flower-NVFlare-execution-time-3.png
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File:Flower-NVFlare-execution-time-2.png
no edit summary
File:Flower-NVFlare-execution-time-1.png
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ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Execution time
+1,777
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Introduction
+15
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
References
+26
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
-778
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
+3
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
+452
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
References
-12
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
References
+24
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
+285
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
+13
3 October 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
-52
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Introduction
+234
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
+1,259
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
+3,847
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Embedded Environment
+610
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Virtual environment
-164
2 October 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Virtual environment
+954
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Virtual environment
+68
29 September 2023
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Cloud environment
+342
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Local environment
+454
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
Ease of use
+11