169 citations · 186 across the 9 of their papers we have counts for
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cs.LG2022★ 9 cited
Federated Learning -- Methods, Applications and beyond
Moritz Heusinger, Christoph Raab, Fabrice Rossi +1
In recent years the applications of machine learning models have increased rapidly, due to the large amount of available data and technological progress.While some domains like web…
cs.LG2022
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective
Simon Heilig, Maximilian Münch, Frank-Michael Schleif
Matrix approximations are a key element in large-scale algebraic machine learning approaches. The recently proposed method MEKA (Si et al., 2014) effectively employs two common ass…