Prof. Dr.-Ing. Stefan SchulteFederated Learning - Overview and Current Research

26. Juni 2023

Foto: UHH/FBI

Wir begrüßen am Montag, 26.06.2026, um 17:15 Uhr Prof. Dr.-Ing. Stefan Schulte von der Technischen Universität Hamburg, Institute for Data Engineering mit einem Vortrag zum Thema "Federated Learning - Overview and Current Research".

Speaker

Prof. Dr. -Ing. Stefan Schulte

Technische Universität Hamburg
Institute for Data Engineering (IDE)

When: Mo, 26.06.2023, at 17:15

Where: Konrad-Zuse-Hörsaal (Room B-201), Informatikum

Topic

Federated Learning - Overview and Current Research

Language: English

Abstract

Today's Machine Learning (ML) approaches are mostly based on a centralized approach, i.e., data is sent to a centralized entity (very often located in the cloud), where ML training is carried out. However, especially in industrial scenarios, companies are very often not keen on sharing their (raw) data with the cloud, especially if ML training and model generation are provided by an external party (e.g., the vendor of a machine).

Federated Learning (FL) offers an alternative approach, by distributing the model generation across different entities. Thus, learning can be conducted close to the data sources, and only the learned model is shared with other entities. This leads to benefits both with regard to data privacy and communication overhead. In this talk, we will motivate FL, provide some insights on how to use it, and discuss some recent research results, e.g., in FL lifecycle management.

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