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Protea: Client Profiling within Federated Systems using Flower. (arXiv:2207.01053v1 [cs.LG])
July 5, 2022, 1:10 a.m. | Wanru Zhao, Xinchi Qiu, Javier Fernandez-Marques, Pedro P. B. de Gusmão, Nicholas D. Lane
cs.LG updates on arXiv.org arxiv.org
Federated Learning (FL) has emerged as a prospective solution that
facilitates the training of a high-performing centralised model without
compromising the privacy of users. While successful, research is currently
limited by the possibility of establishing a realistic large-scale FL system at
the early stages of experimentation. Simulation can help accelerate this
process. To facilitate efficient scalable FL simulation of heterogeneous
clients, we design and implement Protea, a flexible and lightweight client
profiling component within federated systems using the FL framework …
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