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)!
Category Archives: Conferences & Meetings
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!
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.
SIGMOD Paper Accepted!
Our paper entitled “How To Optimize My Blockchain? A Multi-Level Recommendation Approach” has been accepted for publication at the ACM SIGMOD 2023 conference!
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)!
ICDE Paper Accepted
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.
PC Member at IEEE DAPPS
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.
SIGMOD Paper Accepted!
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!”
Ruben Mayer 