User contributions

U0001

16 April 2024

ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Introduction
20:29
-10

15 February 2024

AURA SOM/AURA Hardware/Power and Reset/System boot
no edit summary
08:30
+45

14 February 2024

AURA SOM/AURA Hardware/Power and Reset/System boot
no edit summary
15:57
+515
AURA SOM/AURA Hardware/Power and Reset/Power Supply Unit (PSU) and recommended power-up sequence
no edit summary
15:01
AURA SOM/AURA Hardware/Power and Reset/Power Supply Unit (PSU) and recommended power-up sequence
no edit summary
14:59
+139

9 February 2024

AURA SOM/Part number composition
no edit summary
11:10
AURA SOM/Part number composition
‎Part number composition
11:02
AURA SOM/Part number composition
‎Part number composition
11:00
+300
AURA SOM/Part number composition
no edit summary
10:40
+450
AURA SOM/Part number composition
‎Part number composition
10:35
AURA SOM/Part number composition
‎Part number composition
10:35
AURA SOM/Part number composition
‎Part number composition
10:34
+170

9 November 2023

BELK-AN-003: Interfacing DDR3 SDRAM to PL
‎Introduction
15:38
+4

8 November 2023

ORCA SOM/ORCA Hardware/Power and Reset/Reset scheme and control signals
‎PMIC_ON_REQ//VMON_RST
15:40
-280

31 October 2023

MVM known issues
Created page with "{{InfoBoxTop}} {{Applies_To_MVM}} {{InfoBoxBottom}} thumb|center|200px"
17:29
Managed Virtual Machine (MVM)
‎FAQs
17:28
+65

9 October 2023

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
‎History
13:36
+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...
m
13:31
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
‎Introduction
13:26
+357

6 October 2023

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
no edit summary
16:31
+51
File:PPSU3-example1.png
no edit summary
16:29
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
‎Hardware design
16:29
+12
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
‎Hardware design
15:10
+28
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
no edit summary
15:07
+439
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
‎Hardware design
11:04
+638
File:PPSU-PPSUv3.png
no edit summary
11:03
File:PPSU-PPSUv2.png
no edit summary
11:02
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
‎Power supply anomalies resilience test
09:09
+464
File:PPSU3-PCB.png
no edit summary
09:00
MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies
‎Introduction
08:13
-34

5 October 2023

ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎History
09:20
+1
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Conclusions and future work
09:20
+942
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Results analysis
08:00
+182
File:NVFlare-server-validation-accuracy.png
no edit summary
07:57
File:NVFlare-local-training-loss.png
no edit summary
07:56
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Advanced system design
07:54
+3,769
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Execution time
07:37
+24
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Advanced system design
07:34
+200

4 October 2023

ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Results
16:34
+23
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Embedded Environment
16:34
+23
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Virtual environment
16:34
+24
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Local environment
16:33
+24
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Final choice
16:33
+24
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Conclusions and future work
16:30
+3
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Applying NVFlare to a real-word case
13:38
+4,952
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Cloud environment
13:32
+1,884
File:Flower-NVFlare-execution-time-3.png
no edit summary
13:28
File:Flower-NVFlare-execution-time-2.png
no edit summary
13:27
File:Flower-NVFlare-execution-time-1.png
no edit summary
13:26
ML-TN-007 — AI at the edge: exploring Federated Learning solutions
‎Execution time
13:14
+1,777

older 50

Retrieved from "https://wiki.dave.eu/index.php/Special:Contributions/U0001"

DAVE Developer's Wiki β

User contributions

U0001

16 April 2024

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

15 February 2024

AURA SOM/AURA Hardware/Power and Reset/System boot

14 February 2024

AURA SOM/AURA Hardware/Power and Reset/System boot

AURA SOM/AURA Hardware/Power and Reset/Power Supply Unit (PSU) and recommended power-up sequence

AURA SOM/AURA Hardware/Power and Reset/Power Supply Unit (PSU) and recommended power-up sequence

9 February 2024

AURA SOM/Part number composition

AURA SOM/Part number composition

AURA SOM/Part number composition

AURA SOM/Part number composition

AURA SOM/Part number composition

AURA SOM/Part number composition

AURA SOM/Part number composition

9 November 2023

BELK-AN-003: Interfacing DDR3 SDRAM to PL

8 November 2023

ORCA SOM/ORCA Hardware/Power and Reset/Reset scheme and control signals

31 October 2023

MVM known issues

Managed Virtual Machine (MVM)

9 October 2023

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

6 October 2023

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

File:PPSU3-example1.png

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

File:PPSU-PPSUv3.png

File:PPSU-PPSUv2.png

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

File:PPSU3-PCB.png

MISC-TN-027 — Qualifying a product for industrial, harsh environments: resilience against power supply anomalies

5 October 2023

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

File:NVFlare-server-validation-accuracy.png

File:NVFlare-local-training-loss.png

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

4 October 2023

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

File:Flower-NVFlare-execution-time-3.png

File:Flower-NVFlare-execution-time-2.png

File:Flower-NVFlare-execution-time-1.png

ML-TN-007 — AI at the edge: exploring Federated Learning solutions

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