Protea: Client Profiling within Federated Systems using Flower. (arXiv:2207.01053v2 [cs.LG] UPDATED)

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 …

arxiv client flower profiling systems