A Distributed Support based on Kubeflow to Ease MLOps of Federated Learning Algorithms

The main objective of my thesis work is to exploit the Google native and open-source platform Kubeflow, specifically using Kubeflow pipelines, to execute a Federated Learning scalable ML process in a 5G-like and simplified test architecture hosting a Kubernetes cluster and apply the largely adopted FedAVG algorithm and FedProx its optimization empowered by the ML platform ‘s abilities to ease the development and production cycle of this specific FL process. FL algorithms are more are and more promising and adopted both in Cloud application development and 5G communication enhancement through data coming from the monitoring of the underlying telco infrastructure and execution of training and data aggregation at edge nodes to optimize the global model of the algorithm ( that could be used for example for resource provisioning to reach an agreed QoS for the underlying network slice) and after a study and a research over the available papers and scientific articles related to FL with the help of the CTTC that suggests me to study and use Kubeflow to bear the algorithm we found out that this approach for the whole FL cycle deployment was not documented and may be interesting to investigate more in depth. This study may lead to prove the efficiency of the Kubeflow platform itself for this need of development of new FL algorithms that will support new Applications and especially test the FedAVG algorithm performances in a simulated client to cloud communication using a MNIST dataset for FL as benchmark.

La communication inclusive en Italie et en Suisse: une étude expérimentale

Taking example of textual, oral and visual contents from Italian and Swiss government websites (Italian and French-speaking ones), this research makes a case study on the theme of inclusive communication, focusing particularly on non-sexist communication. Our corpus consists of Italian (https://www.governo.it/), Swiss Italian (https://www.admin.ch/gov/it/pagina-iniziale.html) and Swiss French (https://www.admin.ch/gov/fr/accueil.html) government websites. To better analyze the topic of inclusion, we decided to divide the thesis into two parts: a first theoretical section that focuses on a description of the topic's basic notions and the policies adopted by the two countries; a detailed presentation of the categories of marginalized people and the current situation of the use of processes related to inclusive communication; an analysis of communication from a gender perspective and the differences between the two countries. For the second section of this thesis, we decided to conduct innovative research by comparing and contrasting the three websites. Press releases, speeches, job postings and photo galleries will be among the analyzed materials. These sources will be studied meticulously to form a global perspective on the progress of inclusive communication in Italy and Switzerland.