Ruben Mayer

105 papers A* 5A 6B 2Journal 54Unranked 37
YearRankTypeTitle / Venue / Authors
2025 B conf
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training.
EDBT
Nikolai Merkel, Daniel Stoll, Ruben Mayer, Hans-Arno Jacobsen
2025 J jnl
Comparing Methods for Bias Mitigation in Graph Neural Networks.
CoRR
Barbara Hoffmann, Ruben Mayer
2025 — conf
Multimodal Structured Data to LLM Adaptation System.
ICDM (Workshops)
Barbara Hoffmann, Marcos Martínez Galindo, Ruben Mayer, Vanessa López Garcia, Thanh Lam Hoang
2025 J jnl
Position: Federated Foundation Language Model Post-Training Should Focus on Open-Source Models.
CoRR
Nikita Agrawal, Simon Mertel, Ruben Mayer
2025 — conf
The DEBS 2025 Grand Challenge: Real-Time Monitoring of Defects in Laser Powder Bed Fusion (L-PBF) Manufacturing.
DEBS
Luca De Martini, Jawad Tahir, Alessandro Margara, Christoph Doblander, Sebastian Frischbier, Ruben Mayer, Hans-Arno Jacobsen
2025 J jnl
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks.
CoRR
Jana Vatter, Mykhaylo Zayats, Marcos Martínez Galindo, Vanessa López, Ruben Mayer, Hans-Arno Jacobsen, Hoang Thanh Lam
2024 A* conf
A Survey on Efficient Federated Learning Methods for Foundation Model Training.
IJCAI
Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
2024 J jnl
A Survey on Efficient Federated Learning Methods for Foundation Model Training.
CoRR
Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
2024 — conf
Benefits and Challenges of Decentralization in Data Systems: Opportunities for Data Management Research.
VLDB Workshops
Ruben Mayer
2024 J jnl
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study.
CoRR
Nikolai Merkel, Pierre Toussing, Ruben Mayer, Hans-Arno Jacobsen
2024 J jnl
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study.
Proc. VLDB Endow.
Nikolai Merkel, Pierre Toussing, Ruben Mayer, Hans-Arno Jacobsen
2024 J jnl
Choosing a Classical Planner with Graph Neural Networks.
CoRR
Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen, Horst Samulowitz, Michael Katz
2024 B conf
Coddora: CO2-Based Occupancy Detection Model Trained via Domain Randomization.
IJCNN
Manuel Weber, Farzan Banihashemi, Davor Stjelja, Peter Mandl, Ruben Mayer, Hans-Arno Jacobsen
2024 — conf
Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act.
VLDB Workshops
Barbara Hoffmann, Jana Vatter, Ruben Mayer
2024 A conf
FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems.
Middleware
Herbert Woisetschläger, Alexander Erben, Ruben Mayer, Shiqiang Wang, Hans-Arno Jacobsen
2024 J jnl
Federated Computing - Survey on Building Blocks, Extensions and Systems.
CoRR
René Schwermer, Ruben Mayer, Hans-Arno Jacobsen
2024 — conf
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly.
DEEM@SIGMOD
Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
2024 J jnl
Federated Learning Priorities Under the European Union Artificial Intelligence Act.
CoRR
Herbert Woisetschläger, Alexander Erben, Bill Marino, Shiqiang Wang, Nicholas D. Lane, Ruben Mayer, Hans-Arno Jacobsen
2024 J jnl
Federated Learning and AI Regulation in the European Union: Who is Responsible? - An Interdisciplinary Analysis.
CoRR
Herbert Woisetschläger, Simon Mertel, Christoph Krönke, Ruben Mayer, Hans-Arno Jacobsen
2024 J jnl
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study.
Proc. VLDB Endow.
Alexander Erben, Ruben Mayer, Hans-Arno Jacobsen
2024 J jnl
How Reliable Are Streams? End-to-End Processing-Guarantee Validation and Performance Benchmarking of Stream Processing Systems.
Proc. VLDB Endow.
Jawad Tahir, Ruben Mayer, Christoph Doblander, Hans-Arno Jacobsen
2024 J jnl
Should my Blockchain Learn to Drive? A Study of Hyperledger Fabric.
CoRR
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
2024 — conf
Size Does (Not) Matter? Sparsification and Graph Neural Network Sampling for Large-scale Graphs.
VLDB Workshops
Jana Vatter, Maurice L. Rochau, Ruben Mayer, Hans-Arno Jacobsen
2024 J jnl
The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey.
ACM Comput. Surv.
Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen
2024 J jnl
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act.
CoRR
Barbara Hoffmann, Jana Vatter, Ruben Mayer
2023 — conf
A Comprehensive Study on Benchmarking Permissioned Blockchains.
TPCTC
Jeeta Ann Chacko, Ruben Mayer, Alan D. Fekete, Vincent Gramoli, Hans-Arno Jacobsen
2023 J jnl
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness.
CoRR
Zongxiong Chen, Jiahui Geng, Derui Zhu, Herbert Woisetschlaeger, Qing Li, Sonja Schimmler, Ruben Mayer, Chunming Rong
2023 A* conf
A Survey on Dataset Distillation: Approaches, Applications and Future Directions.
IJCAI
Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong
2023 J jnl
A Survey on Dataset Distillation: Approaches, Applications and Future Directions.
CoRR
Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong
2023 A conf
An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems.
Middleware
Frank Christian Geyer, Hans-Arno Jacobsen, Ruben Mayer, Peter Mandl
2023 J jnl
An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems.
CoRR
Frank Christian Geyer, Hans-Arno Jacobsen, Ruben Mayer, Peter Mandl
2023 J jnl
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training.
CoRR
Nikolai Merkel, Daniel Stoll, Ruben Mayer, Hans-Arno Jacobsen
2023 — conf
Energy vs Privacy: Estimating the Ecological Impact of Federated Learning.
e-Energy
René Schwermer, Ruben Mayer, Hans-Arno Jacobsen
2023 J jnl
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems.
CoRR
Herbert Woisetschläger, Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen
2023 — conf
Fabric-Visualizer: A Transaction Dependency Visualizer for Hyperledger Fabric.
Middleware Demos/Posters/Doctoral Symposium
Jeeta Ann Chacko, Nino Richter, Ruben Mayer, Hans-Arno Jacobsen
2023 J jnl
FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains.
CoRR
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
2023 — conf
Federated Computing in Electric Vehicles to Predict Coolant Temperature.
Middleware Industry
René Schwermer, Ekin-Alp Bicer, Pascal A. Schirmer, Ruben Mayer, Hans-Arno Jacobsen
2023 J jnl
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly.
CoRR
Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
2023 J jnl
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study.
CoRR
Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen
2023 J jnl
How To Optimize My Blockchain? A Multi-Level Recommendation Approach.
CoRR
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
2023 J jnl
How To Optimize My Blockchain? A Multi-Level Recommendation Approach.
Proc. ACM Manag. Data
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
2023 J jnl
Open Problems in (Hyper)Graph Decomposition.
CoRR
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
2023 A conf
OrderlessChain: A CRDT-based BFT Coordination-free Blockchain Without Global Order of Transactions.
Middleware
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
2023 — conf
Overcoming Data Scarcity through Transfer Learning in CO2-Based Building Occupancy Detection.
BuildSys
Manuel Weber, Farzan Banihashemi, Peter Mandl, Hans-Arno Jacobsen, Ruben Mayer
2023 A* conf
Partitioner Selection with EASE to Optimize Distributed Graph Processing.
ICDE
Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen
2023 J jnl
Partitioner Selection with EASE to Optimize Distributed Graph Processing.
CoRR
Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen
2023 J jnl
Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331).
Dagstuhl Reports
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
2023 J jnl
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey.
CoRR
Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen
2023 — conf
pTA: A Programmable Teaching Assistant for Lab Courses.
DataEd@SIGMOD
Jawad Tahir, Raj Mandal, Olha Stefanova, Hans-Arno Jacobsen, Christoph Doblander, Ruben Mayer
2022 — conf
Detecting trading trends in financial tick data: the DEBS 2022 grand challenge.
DEBS
Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, Hans-Arno Jacobsen
2022 — conf
Federated office plug-load identification for building management systems.
e-Energy
René Schwermer, Jonas Buchberger, Ruben Mayer, Hans-Arno Jacobsen
2022 J jnl
OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions?
CoRR
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
2022 — conf
OrderlessChain: a CRDT-enabled blockchain without total global order of transactions: poster abstract.
Middleware Demos/Posters
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
2022 — conf
OrderlessFL: a CRDT-enabled permissioned blockchain for federated learning: poster abstract.
Middleware Demos/Posters
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
2022 — conf
OrderlessFile: a CRDT-enabled permissioned blockchain for file storage: poster abstract.
Middleware Demos/Posters
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
2022 A* conf
Out-of-Core Edge Partitioning at Linear Run-Time.
ICDE
Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen
2022 J jnl
Out-of-Core Edge Partitioning at Linear Run-Time.
CoRR
Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen
2022 J jnl
The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data.
CoRR
Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, Hans-Arno Jacobsen
2022 — conf
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines.
SIGMOD Conference
Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen
2022 J jnl
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines.
CoRR
Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen
2021 — conf
Benchmarking Apache Kafka under network faults.
Middleware Demos/Posters
Murtaza Raza, Jawad Tahir, Christoph Doblander, Ruben Mayer, Hans-Arno Jacobsen
2021 — conf
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints.
SIGMOD Conference
Ruben Mayer, Hans-Arno Jacobsen
2021 J jnl
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints.
CoRR
Ruben Mayer, Hans-Arno Jacobsen
2021 A* conf
MDMS: Music Data Matching System for Query Variant Retrieval.
ACM Multimedia
Rinita Roy, Ruben Mayer, Hans-Arno Jacobsen
2021 J jnl
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques, and Tools.
ACM Comput. Surv.
Ruben Mayer, Hans-Arno Jacobsen
2021 — conf
The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns.
DEBS
Jawad Tahir, Christoph Doblander, Ruben Mayer, Sebastian Frischbier, Hans-Arno Jacobsen
2021 J jnl
Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version).
CoRR
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
2021 — conf
Why Do My Blockchain Transactions Fail?: A Study of Hyperledger Fabric.
SIGMOD Conference
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
2020 J jnl
2PS: High-Quality Edge Partitioning with Two-Phase Streaming.
CoRR
Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen
2020 — conf
The DEBS 2020 grand challenge.
DEBS
Vincenzo Gulisano, Daniel Jorde, Ruben Mayer, Hannaneh Najdataei, Dimitris Palyvos-Giannas
2019 J jnl
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing.
CoRR
Henriette Röger, Ruben Mayer
2019 J jnl
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing.
ACM Comput. Surv.
Henriette Röger, Ruben Mayer
2019 A conf
FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains.
Middleware
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
2019 J jnl
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools.
CoRR
Ruben Mayer, Hans-Arno Jacobsen
2018 A conf
ADWISE: Adaptive Window-Based Streaming Edge Partitioning for High-Speed Graph Processing.
ICDCS
Christian Mayer, Ruben Mayer, Muhammad Adnan Tariq, Heiko Geppert, Larissa Laich, Lukas Rieger, Kurt Rothermel
2018 J jnl
GrapH: Traffic-Aware Graph Processing.
IEEE Trans. Parallel Distributed Syst.
Christian Mayer, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel
2018 — conf
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion.
IEEE BigData
Christian Mayer, Ruben Mayer, Sukanya Bhowmik, Lukas Epple, Kurt Rothermel
2018 J jnl
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion.
CoRR
Christian Mayer, Ruben Mayer, Sukanya Bhowmik, Lukas Epple, Kurt Rothermel
2018 — conf
P4CEP: Towards In-Network Complex Event Processing.
NetCompute@SIGCOMM
Thomas Kohler, Ruben Mayer, Frank Dürr, Marius Maaß, Sukanya Bhowmik, Kurt Rothermel
2018 J jnl
P4CEP: Towards In-Network Complex Event Processing.
CoRR
Thomas Kohler, Ruben Mayer, Frank Dürr, Marius Maaß, Sukanya Bhowmik, Kurt Rothermel
2018 J jnl
Q-Graph: Preserving Query Locality in Multi-Query Graph Processing.
CoRR
Christian Mayer, Ruben Mayer, Jonas Grunert, Kurt Rothermel, Muhammad Adnan Tariq
2018 — conf
Q-graph: preserving query locality in multi-query graph processing.
GRADES/NDA@SIGMOD/PODS
Christian Mayer, Ruben Mayer, Jonas Grunert, Kurt Rothermel, Muhammad Adnan Tariq
2018 — —
Window-based data parallelization in complex event processing.
Ruben Mayer
2017 J jnl
ADWISE: Adaptive Window-based Streaming Edge Partitioning for High-Speed Graph Processing.
CoRR
Christian Mayer, Ruben Mayer, Muhammad Adnan Tariq, Heiko Geppert, Larissa Laich, Lukas Rieger, Kurt Rothermel
2017 J jnl
EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures.
CoRR
Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
2017 — conf
EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures.
FWC
Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
2017 — conf
Fog Computing for Improving User Application Interaction and Context Awareness: Demo Abstract.
IoTDI
Enrique Saurez, Harshit Gupta, Umakishore Ramachandran, Ruben Mayer
2017 J jnl
FogStore: Toward a Distributed Data Store for Fog Computing.
CoRR
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
2017 — conf
FogStore: Toward a distributed data store for Fog computing.
FWC
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
2017 — conf
Knowledge Is at the Edge! How to Search in Distributed Machine Learning Models.
OTM Conferences (1)
Thomas Bach, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel
2017 J jnl
Knowledge is at the Edge! How to Search in Distributed Machine Learning Models.
CoRR
Thomas Bach, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel
2017 — conf
Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing.
DEBS
Ruben Mayer, Muhammad Adnan Tariq, Kurt Rothermel
2017 J jnl
Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing.
CoRR
Ruben Mayer, Muhammad Adnan Tariq, Kurt Rothermel
2017 J jnl
SPECTRE: Supporting Consumption Policies in Window-Based Parallel Complex Event Processing.
CoRR
Ruben Mayer, Ahmad Slo, Muhammad Adnan Tariq, Kurt Rothermel, Manuel Gräber, Umakishore Ramachandran
2017 A conf
SPECTRE: supporting consumption policies in window-based parallel complex event processing.
Middleware
Ruben Mayer, Ahmad Slo, Muhammad Adnan Tariq, Kurt Rothermel, Manuel Gräber, Umakishore Ramachandran
2017 — conf
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge.
DEBS
Christian Mayer, Ruben Mayer, Majd Abdo
2017 J jnl
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge.
CoRR
Christian Mayer, Ruben Mayer, Majd Abdo
2017 J jnl
The Fog Makes Sense: Enabling Social Sensing Services With Limited Internet Connectivity.
CoRR
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
2017 — conf
The Fog Makes Sense: Enabling Social Sensing Services with Limited Internet Connectivity.
SocialSens@CPSWeek
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran
2017 J jnl
The TensorFlow Partitioning and Scheduling Problem: It's the Critical Path!
CoRR
Ruben Mayer, Christian Mayer, Larissa Laich
2016 — conf
GraphCEP: real-time data analytics using parallel complex event and graph processing.
DEBS
Ruben Mayer, Christian Mayer, Muhammad Adnan Tariq, Kurt Rothermel
2015 J jnl
Predictable Low-Latency Event Detection With Parallel Complex Event Processing.
IEEE Internet Things J.
Ruben Mayer, Boris Koldehofe, Kurt Rothermel
2014 — conf
Distributed complex event processing for mobile large-scale video applications.
Middleware (Posters & Demos)
Beate Ottenwälder, Ruben Mayer, Boris Koldehofe
2014 — conf
Meeting predictable buffer limits in the parallel execution of event processing operators.
IEEE BigData
Ruben Mayer, Boris Koldehofe, Kurt Rothermel
2013 — conf
Rollback-recovery without checkpoints in distributed event processing systems.
DEBS
Boris Koldehofe, Ruben Mayer, Umakishore Ramachandran, Kurt Rothermel, Marco Völz