I’m happy to announce that our project “CLOUDSTARS – Cloud Open Source Research Mobility Network” has been granted. There are in total 18 partners from industry and academia with a funding volume of 1.4 M EUR. The project allows the partners to send researchers to the corresponding partner institution to perform research together.
Our paper titled “Federated Office Plug-Load Identification for Building Management Systems” has been accepted at the Thirteenth ACM International Conference on Future Energy Systems (ACM e-Energy 2022)!
I am apointed as a mentor of the EXIST-funded startup RYVER.AI. They provide software to generate synthetic data and assess its privacy as well as quality. More information: https://ryver.ai/ Find more information on EXIST: https://www.exist.de/
Our paper titled “Where is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines” has been accepted for publication at the SIGMOD 2022 conference. In this paper, we provide an in-depth analysis of data preprocessing pipelines from four different machine learning domains. We introduce a new perspective on efficiently preparing datasets for end-to-end deepContinue reading “SIGMOD Paper Accepted!”
I’m happy to announce that we’ve received funding for a new research project at TUM, titled “Federated Learning for Non-Invasive Condition Monitoring”. The funding is sufficient to support one PhD student for three years (see job posting). Many thanks to the Federal Ministry for Economic Affiars and Energy (BMWi) for funding this exciting research!
Our paper titled “MDMS: Music Data Matching System for Query Variant Retrieval” has been accepted in the demos and videos program of the ACM Multimedia 2021 conference. Co-authors were Rinita Roy and Hans-Arno Jacobsen.