Decentralized Learning makes techniques from Federated
Learning applicable in scenarios where no central network authority
exists. We propose a Tangle Architecture for open Decentralized Learning
networks that is robust against basic poisoning attacks from adversarial nodes.
Under github.com/osmhpi/cohydra, we published a novel framework
for building test beds for hybrid (i.e., possibility to integrate
hardware components) co-simulations (i.e., possibility to couple