Ruben Mayer

ORCID

Publication Activity (10 Years)

Years Active: 2013-2025
Publications (10 Years): 84

Top Venues

CoRR

DEBS

Middleware

Middleware Demos/Posters

University of Stuttgart, Germany (PHD)

Education History

University of Stuttgart, Germany

PHD

Publications

Nikolai Merkel, Daniel Stoll, Ruben Mayer, Hans-Arno Jacobsen
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training. EDBT (2025)
Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly. DEEM@SIGMOD (2024)
Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen, Horst Samulowitz, Michael Katz
Choosing a Classical Planner with Graph Neural Networks. CoRR (2024)
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
Should my Blockchain Learn to Drive? A Study of Hyperledger Fabric. CoRR (2024)
Alexander Erben, Ruben Mayer, Hans-Arno Jacobsen
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study. Proc. VLDB Endow. 17 (6) (2024)
René Schwermer, Ruben Mayer, Hans-Arno Jacobsen
Federated Computing - Survey on Building Blocks, Extensions and Systems. CoRR (2024)
Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
A Survey on Efficient Federated Learning Methods for Foundation Model Training. CoRR (2024)
Herbert Woisetschläger, Simon Mertel, Christoph Krönke, Ruben Mayer, Hans-Arno Jacobsen
Federated Learning and AI Regulation in the European Union: Who is Responsible? - An Interdisciplinary Analysis. CoRR (2024)
Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen
The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey. ACM Comput. Surv. 56 (1) (2024)
Herbert Woisetschläger, Alexander Erben, Bill Marino, Shiqiang Wang, Nicholas D. Lane, Ruben Mayer, Hans-Arno Jacobsen
Federated Learning Priorities Under the European Union Artificial Intelligence Act. CoRR (2024)
Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong
A Survey on Dataset Distillation: Approaches, Applications and Future Directions. CoRR (2023)
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains. CoRR (2023)
Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen
Partitioner Selection with EASE to Optimize Distributed Graph Processing. ICDE (2023)
Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study. CoRR (2023)
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
How To Optimize My Blockchain? A Multi-Level Recommendation Approach. CoRR (2023)
René Schwermer, Ruben Mayer, Hans-Arno Jacobsen
Energy vs Privacy: Estimating the Ecological Impact of Federated Learning. e-Energy (2023)
Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, George Karypis, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Christian Schulz, Roohani Sharma, Darren Strash, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
Open Problems in (Hyper)Graph Decomposition. CoRR (2023)
Frank Christian Geyer, Hans-Arno Jacobsen, Ruben Mayer, Peter Mandl
An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems. CoRR (2023)
Nikolai Merkel, Daniel Stoll, Ruben Mayer, Hans-Arno Jacobsen
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training. CoRR (2023)
Frank Christian Geyer, Hans-Arno Jacobsen, Ruben Mayer, Peter Mandl
An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems. Middleware (2023)
Zongxiong Chen, Jiahui Geng, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Chunming Rong
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness. CoRR (2023)
Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey. CoRR (2023)
Jeeta Ann Chacko, Nino Richter, Ruben Mayer, Hans-Arno Jacobsen
Fabric-Visualizer: A Transaction Dependency Visualizer for Hyperledger Fabric. Middleware Demos/Posters/Doctoral Symposium (2023)
Manuel Weber, Farzan Banihashemi, Peter Mandl, Hans-Arno Jacobsen, Ruben Mayer
Overcoming Data Scarcity through Transfer Learning in CO2-Based Building Occupancy Detection. BuildSys@SenSys (2023)
Herbert Woisetschläger, Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems. CoRR (2023)
Jawad Tahir, Raj Mandal, Olha Stefanova, Hans-Arno Jacobsen, Christoph Doblander, Ruben Mayer
pTA: A Programmable Teaching Assistant for Lab Courses. DataEd@SIGMOD (2023)
Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly. CoRR (2023)
Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen
Partitioner Selection with EASE to Optimize Distributed Graph Processing. CoRR (2023)
Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong
A Survey on Dataset Distillation: Approaches, Applications and Future Directions. IJCAI (2023)
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
OrderlessChain: A CRDT-based BFT Coordination-free Blockchain Without Global Order of Transactions. Middleware (2023)
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
How To Optimize My Blockchain? A Multi-Level Recommendation Approach. Proc. ACM Manag. Data 1 (1) (2023)
René Schwermer, Ekin-Alp Bicer, Pascal A. Schirmer, Ruben Mayer, Hans-Arno Jacobsen
Federated Computing in Electric Vehicles to Predict Coolant Temperature. Middleware Industry (2023)
George Karypis, Christian Schulz, Darren Strash, Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Roohani Sharma, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). Dagstuhl Reports 13 (8) (2023)
Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, Hans-Arno Jacobsen
Detecting trading trends in financial tick data: the DEBS 2022 grand challenge. DEBS (2022)
Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines. SIGMOD Conference (2022)
René Schwermer, Jonas Buchberger, Ruben Mayer, Hans-Arno Jacobsen
Federated office plug-load identification for building management systems. e-Energy (2022)
Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen
Out-of-Core Edge Partitioning at Linear Run-Time. CoRR (2022)
Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines. CoRR (2022)
Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen
Out-of-Core Edge Partitioning at Linear Run-Time. ICDE (2022)
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions? CoRR (2022)
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
OrderlessFile: a CRDT-enabled permissioned blockchain for file storage: poster abstract. Middleware Demos/Posters (2022)
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
OrderlessChain: a CRDT-enabled blockchain without total global order of transactions: poster abstract. Middleware Demos/Posters (2022)
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
OrderlessFL: a CRDT-enabled permissioned blockchain for federated learning: poster abstract. Middleware Demos/Posters (2022)
Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, Hans-Arno Jacobsen
The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data. CoRR (2022)
Ruben Mayer, Hans-Arno Jacobsen
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints. CoRR (2021)
Jawad Tahir, Christoph Doblander, Ruben Mayer, Sebastian Frischbier, Hans-Arno Jacobsen
The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns. DEBS (2021)
Murtaza Raza, Jawad Tahir, Christoph Doblander, Ruben Mayer, Hans-Arno Jacobsen
Benchmarking Apache Kafka under network faults. Middleware Demos/Posters (2021)
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version). CoRR (2021)
Rinita Roy, Ruben Mayer, Hans-Arno Jacobsen
MDMS: Music Data Matching System for Query Variant Retrieval. ACM Multimedia (2021)
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
Why Do My Blockchain Transactions Fail?: A Study of Hyperledger Fabric. SIGMOD Conference (2021)
Ruben Mayer, Hans-Arno Jacobsen
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints. SIGMOD Conference (2021)
Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen
2PS: High-Quality Edge Partitioning with Two-Phase Streaming. CoRR (2020)
Vincenzo Gulisano, Daniel Jorde, Ruben Mayer, Hannaneh Najdataei, Dimitris Palyvos-Giannas
The DEBS 2020 grand challenge. DEBS (2020)
Ruben Mayer, Hans-Arno Jacobsen
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques, and Tools. ACM Comput. Surv. 53 (1) (2020)
Henriette Röger, Ruben Mayer
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing. ACM Comput. Surv. 52 (2) (2019)
Ruben Mayer, Hans-Arno Jacobsen
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools. CoRR (2019)
Henriette Röger, Ruben Mayer
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing. CoRR (2019)
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains. Middleware (2019)
Thomas Kohler, Ruben Mayer, Frank Dürr, Marius Maaß, Sukanya Bhowmik, Kurt Rothermel
P4CEP: Towards In-Network Complex Event Processing. NetCompute@SIGCOMM (2018)
Christian Mayer, Ruben Mayer, Jonas Grunert, Kurt Rothermel, Muhammad Adnan Tariq
Q-Graph: Preserving Query Locality in Multi-Query Graph Processing. CoRR (2018)
Christian Mayer, Ruben Mayer, Muhammad Adnan Tariq, Heiko Geppert, Larissa Laich, Lukas Rieger, Kurt Rothermel
ADWISE: Adaptive Window-Based Streaming Edge Partitioning for High-Speed Graph Processing. ICDCS (2018)
Christian Mayer, Ruben Mayer, Jonas Grunert, Kurt Rothermel, Muhammad Adnan Tariq
Q-graph: preserving query locality in multi-query graph processing. GRADES/NDA@SIGMOD/PODS (2018)
Thomas Kohler, Ruben Mayer, Frank Dürr, Marius Maaß, Sukanya Bhowmik, Kurt Rothermel
P4CEP: Towards In-Network Complex Event Processing. CoRR (2018)
Christian Mayer, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel
GrapH: Traffic-Aware Graph Processing. IEEE Trans. Parallel Distributed Syst. 29 (6) (2018)
Christian Mayer, Ruben Mayer, Sukanya Bhowmik, Lukas Epple, Kurt Rothermel
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion. CoRR (2018)
Christian Mayer, Ruben Mayer, Sukanya Bhowmik, Lukas Epple, Kurt Rothermel
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion. IEEE BigData (2018)
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
FogStore: Toward a Distributed Data Store for Fog Computing. CoRR (2017)
Thomas Bach, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel
Knowledge Is at the Edge! How to Search in Distributed Machine Learning Models. OTM Conferences (1) (2017)
Ruben Mayer, Christian Mayer, Larissa Laich
The TensorFlow Partitioning and Scheduling Problem: It's the Critical Path! CoRR (2017)
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
The Fog Makes Sense: Enabling Social Sensing Services with Limited Internet Connectivity. SocialSens@CPSWeek (2017)
Ruben Mayer, Ahmad Slo, Muhammad Adnan Tariq, Kurt Rothermel, Manuel Gräber, Umakishore Ramachandran
SPECTRE: Supporting Consumption Policies in Window-Based Parallel Complex Event Processing. CoRR (2017)
Christian Mayer, Ruben Mayer, Majd Abdo
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge. CoRR (2017)
Ruben Mayer, Muhammad Adnan Tariq, Kurt Rothermel
Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing. CoRR (2017)
Christian Mayer, Ruben Mayer, Muhammad Adnan Tariq, Heiko Geppert, Larissa Laich, Lukas Rieger, Kurt Rothermel
ADWISE: Adaptive Window-based Streaming Edge Partitioning for High-Speed Graph Processing. CoRR (2017)
Christian Mayer, Ruben Mayer, Majd Abdo
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge. DEBS (2017)
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
The Fog Makes Sense: Enabling Social Sensing Services With Limited Internet Connectivity. CoRR (2017)
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
FogStore: Toward a distributed data store for Fog computing. FWC (2017)
Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures. FWC (2017)
Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures. CoRR (2017)
Ruben Mayer, Ahmad Slo, Muhammad Adnan Tariq, Kurt Rothermel, Manuel Gräber, Umakishore Ramachandran
SPECTRE: supporting consumption policies in window-based parallel complex event processing. Middleware (2017)
Enrique Saurez, Harshit Gupta, Umakishore Ramachandran, Ruben Mayer
Fog Computing for Improving User Application Interaction and Context Awareness: Demo Abstract. IoTDI (2017)
Thomas Bach, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel
Knowledge is at the Edge! How to Search in Distributed Machine Learning Models. CoRR (2017)
Ruben Mayer, Muhammad Adnan Tariq, Kurt Rothermel
Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing. DEBS (2017)
Ruben Mayer, Christian Mayer, Muhammad Adnan Tariq, Kurt Rothermel
GraphCEP: real-time data analytics using parallel complex event and graph processing. DEBS (2016)
Ruben Mayer, Boris Koldehofe, Kurt Rothermel
Predictable Low-Latency Event Detection With Parallel Complex Event Processing. IEEE Internet Things J. 2 (4) (2015)
Ruben Mayer, Boris Koldehofe, Kurt Rothermel
Meeting predictable buffer limits in the parallel execution of event processing operators. IEEE BigData (2014)
Beate Ottenwälder, Ruben Mayer, Boris Koldehofe
Distributed complex event processing for mobile large-scale video applications. Middleware (Posters & Demos) (2014)
Boris Koldehofe, Ruben Mayer, Umakishore Ramachandran, Kurt Rothermel, Marco Völz
Rollback-recovery without checkpoints in distributed event processing systems. DEBS (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ruben Mayer