Bureaucrats, dave_user, Administrators
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→Embedded Environment
In Table 2.3 are briefly summarised the test bed specifications used.
{| class="wikitable"
! extbf{System}
! \textbf{Component}
! \textbf{Name}
! \textbf{Version}
|-
| \multirow{7}{*}{\textbf{Host}}
| Operating system
| GNU/Linux Ubuntu
| 22.04
|-
|
| ML frameworks
| Pytorch
| 1.13.1
|-
|
| \multirow{2}{*}{FL frameworks}
| Flower
| 1.4.0
|-
|
|
| NVFlare
| 2.3.0
|-
|
| Hardware
| intel i7 12700h
| 6+8 core
|-
|
| Platform
| python venv
| 3.10.6
|-
|
| Architecture
| x86
|
|-
| \multirow{8}{*}{\textbf{ZCU104}}
| Operating system
| Xilinx Linux Ubuntu
| 22.04
|-
|
| ML frameworks
| Pytorch
| 1.13.1
|-
|
| \multirow{2}{*}{FL frameworks}
| Flower
| 1.4.0
|-
|
|
| NVFlare
| 2.3.0
|-
|
| \multirow{2}{*}{Hardware}
| ARM Cortex-A53 1.5Ghz
| 4 core
|-
|
|
| 2GB Ram
| DDR4
|-
|
| Platform
| python venv
| 3.10.6
|-
|
| Architecture
| aarch64
|
|-
| \multirow{8}{*}{\parbox{1.5cm}{\textbf{SBC ORCA}}}
| Operating system
| Linux Armbian
| 23.02
|-
|
| ML frameworks
| Pytorch
| 1.13.1
|-
|
| \multirow{2}{*}{FL frameworks}
| Flower
| 1.4.0
|-
|
|
| NVFlare
| 2.3.0
|-
|
| \multirow{2}{*}{Hardware}
| ARM Cortex-A53 1.6Ghz
| 4 core
|-
|
|
| 6GB Ram
| LPDDR4
|-
|
| Platform
| python venv
| 3.9.1
|-
|
| Architecture
| aarch64
|
|}
[2]
Re-configurable hardware device that allows users to implement custom digital circuits
and functions by programming its internal logic gates and interconnections.
==== ML framework ====