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)!
Our paper “Out-of-Core Edge Partitioning at Linear Run-Time” has been accepted for publication at the IEEE International Conference on Data Engineering 2022! A preprint will soon be posted on arXiv.
I’ve been invited to the program committee of IEEE International Conference on Decentralized Applications and Infrastructures (IEEE DAPPS 2022). Paper submission deadline is on May 8th.
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’ve been invited to serve in the program committee of the ACM International Conference on Distributed and Event-Based Systems (DEBS 2022). Find more information here.
I’ve been invited for the technical program committee of the IEEE International Conference on Distributed Computing Systems 2022.
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.
I’m actively looking to recruit new PhD students in distributed systems and data management. In case you’re interested, send me an email with your CV!