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logseq/journals/2023_01_25.md
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type:: [[meeting]]
external-links::
tags:: [[PROJECTS/PRIN-EMELIOT]]
people::
date:: [[25-01-2023]] - 14:36
isconsortium:: true
location:: Benevento
- # Agenda
- 13:00-14:00 - Pranzo
- **14:00-14:15 - Welcome, Intro (Max + Leo)**
- **14:15-16:00 - S1: Fairness**
- Fabio (Unisa)
- Giordano (Univaq)
- Open discussion: dataset/benchmark per studi su fairness, applicazioni su IoT/chatbots
- 16.00-16:30 Coffee break
- **16:30-18:00 - S2: Infrastructure and V&V**
- Felicien - IoT (Univaq)
- Fault tree analysis (Unimib, collaboration with Univaq)
- Dario - MLOps (Unisannio)
- Open discussion: fault models for ML-Intensive IoT systems V&V di ML-intensive IoT systems
- 19:30- Social dinner
- Ristorante Roseto allArco - Via Arco Traiano 65, Benevento
-
- ## Fabio (Unisa)
collapsed:: true
- ![image.png](../assets/image_1674653786031_0.png)
- ![image.png](../assets/image_1674653888809_0.png)
- Fairness is context dependent
id:: 64459a38-5ae9-4b14-9942-dadf66e8416a
- ![image.png](../assets/image_1674653921960_0.png){:height 99, :width 519}
- Fairness is difficult to handle
- ![image.png](../assets/image_1674653952462_0.png)
- ![image.png](../assets/image_1674654027056_0.png)
- ![image.png](../assets/image_1674654101321_0.png)
- Fairness with an MLOps workflow
- Mapping study
- Validate the identified practices with practitioners
- ![image.png](../assets/image_1674654180358_0.png)
- Identied fairness practices
- Le pratiche di fairness riguardano applicazioni di machine learning in diversi ambiti non necessariamente in ambito software development
- Esempio di practiche
- ![image.png](../assets/image_1674654339989_0.png)
- Contesto software engineering
- ![Screenshot_20230125_144606.png](../assets/Screenshot_20230125_144606_1682509465362_0.png)
-
-
- Contesto ML
-
- ![image.png](../assets/image_1674654844982_0.png)
-
- ## Giordano (Univaq)
collapsed:: true
- ![image.png](../assets/image_1674655721718_0.png)
- ![image.png](../assets/image_1674655746329_0.png)
- ![image.png](../assets/image_1674655771812_0.png)
- ![image.png](../assets/image_1674655841488_0.png)
- ![image.png](../assets/image_1674655964885_0.png)
- ![image.png](../assets/image_1674656022292_0.png)
- ![image.png](../assets/image_1674656824551_0.png)
- ![image.png](../assets/image_1674656842175_0.png)
-
- ## Felicien (Univaq)
- [CHESSIoTMBSA.mp4 - Google Drive](https://drive.google.com/file/d/1M6fTsz7-8S4Khe-FAh1Xf4FR0EW6Kde-/view)
- ## Dario
- ![image.png](../assets/image_1674665240261_0.png)
- ![image.png](../assets/image_1674665357123_0.png)
- ![image.png](../assets/image_1674665502392_0.png)
id:: 63d15d8e-aa2b-48e5-8d42-f16974d535fc
- ![image.png](../assets/image_1674665532208_0.png)
- ![image.png](../assets/image_1674665583709_0.png)
- Different kinds of [[PIPELINES]]
- ![image.png](../assets/image_1674665826909_0.png){:height 313, :width 519}
- ![image.png](../assets/image_1674665913095_0.png)
- Platform and Infrastructure layers are impacted by the fact that we have to manage [[PIPELINES]]
-
-