Abstract
For this chapter, we elaborate on one of the most common challenge in Federated Learning—stragglers. The chapters “Local Training and Scalability of Federated Learning Systems“ and “Introduction to Federated Learning Systems“ have talked briefly about it, and we delve even deeper here. We first provide an introduction on what the problem is and why it is important. We talk about a study to show the effect of stragglers in a practical setting. As an example, we then talk about TiFL, a framework that proposes to solve such a problem using grouping. Empirical results are presented to show how such systems may help mitigate the effect of stragglers.
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Zawad, S., Yan, F., Anwar, A. (2022). Straggler Management. In: Ludwig, H., Baracaldo, N. (eds) Federated Learning. Springer, Cham. https://doi.org/10.1007/978-3-030-96896-0_11
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DOI: https://doi.org/10.1007/978-3-030-96896-0_11
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