User contributions
16 April 2024
15 February 2024
14 February 2024
AURA SOM/AURA Hardware/Power and Reset/System boot
no edit summary
+515
AURA SOM/AURA Hardware/Power and Reset/Power Supply Unit (PSU) and recommended power-up sequence
no edit summary
AURA SOM/AURA Hardware/Power and Reset/Power Supply Unit (PSU) and recommended power-up sequence
no edit summary
+139
9 February 2024
AURA SOM/Part number composition
no edit summary
AURA SOM/Part number composition
Part number composition
AURA SOM/Part number composition
Part number composition
+300
AURA SOM/Part number composition
no edit summary
+450
AURA SOM/Part number composition
Part number composition
AURA SOM/Part number composition
Part number composition
AURA SOM/Part number composition
Part number composition
+170
9 November 2023
8 November 2023
31 October 2023
MVM known issues
Created page with "{{InfoBoxTop}} {{Applies_To_MVM}} {{InfoBoxBottom}} thumb|center|200px"
Managed Virtual Machine (MVM)
FAQs
+65
9 October 2023
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
History
+3
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
U0001 moved page MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience to power supply anomalies to MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies...
mMISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
Introduction
+357
6 October 2023
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
no edit summary
+51
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
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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