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FLAME: Federated Learning Across Multi-device Environments. (arXiv:2202.08922v2 [cs.LG] UPDATED)
Sept. 22, 2022, 1:12 a.m. | Hyunsung Cho, Akhil Mathur, Fahim Kawsar
cs.LG updates on arXiv.org arxiv.org
Federated Learning (FL) enables distributed training of machine learning
models while keeping personal data on user devices private. While we witness
increasing applications of FL in the area of mobile sensing, such as human
activity recognition (HAR), FL has not been studied in the context of a
multi-device environment (MDE), wherein each user owns multiple data-producing
devices. With the proliferation of mobile and wearable devices, MDEs are
increasingly becoming popular in ubicomp settings, therefore necessitating the
study of FL in …
More from arxiv.org / cs.LG updates on arXiv.org
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