MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. Stripelis, D., Anastasiou, C., Toral, P., Asghar, A., & Ambite, J. L. In Proceedings of the 4th International Workshop on Distributed Machine Learning, of DistributedML '23, pages 11–19, New York, NY, USA, December, 2023. Association for Computing Machinery. ![MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @inproceedings{stripelis2023:metisfl,
address = {New York, NY, USA},
series = {{DistributedML} '23},
title = {{MetisFL}: {An} {Embarrassingly} {Parallelized} {Controller} for {Scalable} \& {Efficient} {Federated} {Learning} {Workflows}},
isbn = {9798400704475},
shorttitle = {{MetisFL}},
url = {https://doi.org/10.1145/3630048.3630186},
doi = {10.1145/3630048.3630186},
urldate = {2024-01-27},
booktitle = {Proceedings of the 4th {International} {Workshop} on {Distributed} {Machine} {Learning}},
publisher = {Association for Computing Machinery},
author = {Stripelis, Dimitris and Anastasiou, Chrysovalantis and Toral, Patrick and Asghar, Armaghan and Ambite, Jos\'{e} Luis},
month = dec,
year = {2023},
keywords = {data management, distributed machine learning, federated learning, machine learning systems},
pages = {11--19},
}
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