Aug. 5, 2022, 1:10 a.m. | Xinchi Qiu, Titouan Parcollet, Javier Fernandez-Marques, Pedro Porto Buarque de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas

cs.LG updates on arXiv.org arxiv.org

Despite impressive results, deep learning-based technologies also raise
severe privacy and environmental concerns induced by the training procedure
often conducted in data centers. In response, alternatives to centralized
training such as Federated Learning (FL) have emerged. Perhaps unexpectedly, FL
is starting to be deployed at a global scale by companies that must adhere to
new legal demands and policies originating from governments and social groups
advocating for privacy protection. \textit{However, the potential environmental
impact related to FL remains unclear and …

arxiv carbon carbon footprint federated learning learning lg

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