no code implementations • 12 Dec 2023 • Manuel Röder, Leon Heller, Maximilian Münch, Frank-Michael Schleif
With the advent of interconnected and sensor-equipped edge devices, Federated Learning (FL) has gained significant attention, enabling decentralized learning while maintaining data privacy.
1 code implementation • 18 Dec 2021 • Simon Heilig, Maximilian Münch, Frank-Michael Schleif
Matrix approximations are a key element in large-scale algebraic machine learning approaches.
no code implementations • 31 Aug 2020 • Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif
As an information preserving alternative, we propose a complex-valued vector embedding of proximity data.