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.
Author Archives: Ruben Mayer
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!
Paper accepted at ICDE
Our paper titled “Partitioner Selection with EASE to Optimize Distributed Graph Processing” has been accepted at IEEE International Conference on Data Engineering (ICDE 2023). It explores the use of machine learning to automate the selection of the optimal graph partitioning algorithm for a given distributed graph processing problem.
Program Committee Memberships
I’m a member of the program committee of several conferences in 2023. Among others, ACM International Conference on Middleware 2023, and IEEE International Conference on Fog and Edge Computing 2023.
Ruben Mayer 