Picture for Ruben Mayer

Ruben Mayer

Federated Computing -- Survey on Building Blocks, Extensions and Systems

Add code
Apr 03, 2024
Viaarxiv icon

Federated Learning Priorities Under the European Union Artificial Intelligence Act

Add code
Feb 05, 2024
Viaarxiv icon

Choosing a Classical Planner with Graph Neural Networks

Add code
Jan 25, 2024
Viaarxiv icon

A Survey on Efficient Federated Learning Methods for Foundation Model Training

Add code
Jan 09, 2024
Viaarxiv icon

Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly

Add code
Oct 04, 2023
Viaarxiv icon

An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training

Add code
Aug 29, 2023
Viaarxiv icon

FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems

Add code
Jun 13, 2023
Figure 1 for FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
Figure 2 for FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
Figure 3 for FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
Figure 4 for FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
Viaarxiv icon

How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study

Add code
Jun 05, 2023
Figure 1 for How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
Figure 2 for How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
Figure 3 for How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
Figure 4 for How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
Viaarxiv icon

The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey

Add code
May 23, 2023
Figure 1 for The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Figure 2 for The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Figure 3 for The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Figure 4 for The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Viaarxiv icon

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness

Add code
May 05, 2023
Figure 1 for A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness
Figure 2 for A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness
Figure 3 for A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness
Figure 4 for A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness
Viaarxiv icon