Two machine learning papers have been accepted: Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, and Hans-Arno Jacobsen. “A Survey on Efficient Federated Learning Methods for Foundation Model Training.” In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI ’24). Preprint: https://arxiv.org/abs/2401.04472 Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, and Hans-Arno Jacobsen.Continue reading “Papers at IJCAI and DEEM”
Category Archives: Allgemein
PC Member at NeurIPS 2024
I was invited to serve as reviewer for the NeurIPS 2024 Datasets and Benchmarks Track! Please consider submitting your work. See the Call for Papers.
PC Member at ICDCS, ICFEC, IJCNN, and DEBS
This year, I serve in many program committees of academic conferences. Among others, this is the 44th IEEE International Conference on Distributed Computing Systems, the 8th IEEE International Conference on Fog and Edge Computing, the 2024 International Joint Conference on Neural Networks, and the 18th ACM International Conference on Distributed and Event-based Systems.
Paper Accepted at VLDB!
Our paper titled “How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study” has been accepted at PVLDB and is going to be presented at the VLDB 2024 conference! A preprint is avaibale online: https://arxiv.org/abs/2306.03163
Papers at ACM Middleware and ACM BuildSys!
Various papers have been accepted over the course of the summer: At the ACM International Conference on Middleware (Middleware ’23): At the ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys ’23): Congratulations to my successful PhD students!
Paper accepted at ACM e-Energy 2023
Our paper titled “Energy vs Privacy: Estimating the Ecological Impact of FederatedLearning” has been accepted for publication at the 14th ACM International Conference on Future Energy Systems (e-Energy 2023)!
Paper accepted at ACM Computing Surveys!
Our paper titled “The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey” has just been accepted for publication at ACM Computing Systems. In the paper, we draw parallels between distributed graph processing, deep learning and graph neural network systems. It brings together our differentContinue reading “Paper accepted at ACM Computing Surveys!”
Survey Paper accepted at IJCAI 2023!
Our paper titled “A Survey on Dataset Distillation: Approaches, Applications and Future Directions” has been accepted for publication at the 32nd International Joint Conference on Artificial Intelligence!
Professor at University of Bayreuth
I’ve started a new position as a tenured professor of computer science at the University of Bayreuth. I’m going to build up a new research group there, the Chair of Data Systems. If you’re interested in a PhD or PostDoc position, please contact me!
ACM e-Energy Paper Accepted
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)!
Ruben Mayer 