119 citations · 130 across the 17 of their papers we have counts for
3 papers · 1 filter
A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
Cristian J. Vaca-Rubio, Roberto Pereira, Luis Blanco +2
This work introduces Probabilistic Kolmogorov-Arnold Network (P-KAN), a novel probabilistic extension of Kolmogorov-Arnold Networks (KANs) for time series forecasting. By replacing…
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices
Roberto Pereira, Cristian J. Vaca-Rubio, Luis Blanco
Federated Learning (FL) has emerged as a solution for distributed model training across decentralized, privacy-preserving devices, but the different energy capacities of participat…
F-KANs: Federated Kolmogorov-Arnold Networks
Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco +3
In this paper, we present an innovative federated learning (FL) approach that utilizes Kolmogorov-Arnold Networks (KANs) for classification tasks. By utilizing the adaptive activat…