IFedAvg: Interpretable data-interoperability for federated learning

D Roschewitz, MA Hartley, L Corinzia… - arXiv preprint arXiv …, 2021 - arxiv.org
Recently, the ever-growing demand for privacy-oriented machine learning has motivated
researchers to develop federated and decentralized learning techniques, allowing individual …
被引用次数：12 相关文章
[PDF] researchgate.net

[PDF][PDF] iFedAvg–Interpretable Data-Interoperability for Federated Learning

D Roschewitz, MA Hartley, L Corinzia, M Jaggi - researchgate.net
Recently, the ever-growing demand for privacy-oriented machine learning has motivated
researchers to develop federated and decentralized learning techniques, allowing individual …

IFedAvg: Interpretable Data-Interoperability for Federated Learning

D Roschewitz, MA Hartley, L Corinzia… - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Recently, the ever-growing demand for privacy-oriented machine learning has motivated
researchers to develop federated and decentralized learning techniques, allowing individual …