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Joel Wolfrath
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2020 – today
- 2024
- [c7]Joel Wolfrath, Anirudh Achanta, Abhishek Chandra:
Leveraging Multi-Modal Data for Efficient Edge Inference Serving. CCGrid 2024: 408-418 - [i3]Joel Wolfrath, Abhishek Chandra:
A Biased Estimator for MinMax Sampling and Distributed Aggregation. CoRR abs/2404.17690 (2024) - [i2]Nathan Wolfrath, Joel Wolfrath, Hengrui Hu, Anjishnu Banerjee, Anai N. Kothari:
Stronger Baseline Models - A Key Requirement for Aligning Machine Learning Research with Clinical Utility. CoRR abs/2409.12116 (2024) - 2023
- [c6]Joel Wolfrath
, Abhishek Chandra
Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics. SoCC 2023: 1-16 - 2022
- [c5]Dhruv Kumar, Joel Wolfrath
Towards WAN-aware join sampling over geo-distributed data. EdgeSys@EuroSys 2022: 13-18 - [c4]Joel Wolfrath
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. IC2E 2022: 47-57 - [c3]Joel Wolfrath
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning. IPDPS 2022: 985-995 - [i1]Joel Wolfrath, Abhishek Chandra:
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. CoRR abs/2208.06103 (2022) - 2021
- [c2]Yuanli Wang
Accelerated Training via Device Similarity in Federated Learning. EdgeSys@EuroSys 2021: 31-36 - 2020
- [c1]Joel Wolfrath
Poster: Data-Aware Edge Sampling for Aggregate Query Approximation. SEC 2020: 158-160
Coauthor Index
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last updated on 2024-10-23 20:31 CEST by the dblp team
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