Joel Wolfrath

Orcid: 0000-0002-7251-3740

According to our database1, Joel Wolfrath authored at least 9 papers between 2020 and 2024.

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Bibliography

2024
Stronger Baseline Models - A Key Requirement for Aligning Machine Learning Research with Clinical Utility.
CoRR, 2024

A Biased Estimator for MinMax Sampling and Distributed Aggregation.
CoRR, 2024

Leveraging Multi-Modal Data for Efficient Edge Inference Serving.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022

Towards WAN-aware join sampling over geo-distributed data.
Proceedings of the EdgeSys@EuroSys 2022: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Rennes, France, April 5, 2022

2021
Accelerated Training via Device Similarity in Federated Learning.
Proceedings of the EdgeSys@EuroSys 2021: 4th International Workshop on Edge Systems, 2021

2020
Poster: Data-Aware Edge Sampling for Aggregate Query Approximation.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020


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