Abstract
Federated learning (FL) applications face the challenges of managing the temporary state at scale combined with the limited compute and storage capacity of the infrastructure and the heterogeneity/dynamism of the deployment environment. The paper proposes Rubberband- A middleware designed to manage the state in the FL deployments at scale.
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CITATION STYLE
Podolskiy, V. (2020). Rubberband: Enabling Elastic Federated Learning with the Temporary State Management. In Middleware 2020 Doctoral Symposium - Proceedings of the 2020 21st International Middleware Conference Doctoral Symposium, Part of Middleware 2020 (pp. 9–14). Association for Computing Machinery, Inc. https://doi.org/10.1145/3429351.3431742
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