Jun 17, 2022 · The experimental evaluation shows that the proposed method performs better than previous state-of-the-art algorithms for this problem setting, ...

Mar 29, 2023 · In this work, we propose Decentralized Adaptive Clustering (DAC) and show how this approach can find beneficial collaborations between clients ...

Mar 29, 2023 · The experimental evaluation shows that the proposed method performs better than previous state-of-the-art algorithms for this problem setting, ...

Jun 17, 2022 · The experimental evaluation shows that the proposed method performs better than previous state-of-the-art algorithms for this problem setting, ...

We study the problem of training personalized deep learning models in a decentralized peer-to-peer setting, focusing on the setting where data distributions ...

Here we publish our code for the paper Decentralized adaptive clustering of deep nets is beneficial for client collaboration accepted at the International ...

Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. In: Goebel, R., Yu, H., Faltings, B., Fan, L. & Xiong, Z. (Eds ...

Oct 31, 2022 · In this work, we propose. Decentralized Adaptive Clustering (DAC) and show how this approach can find beneficial collaborations between clients ...

Jun 23, 2022 · EFFGAN: Ensembles of fine-tuned federated GANs · Decentralized adaptive clustering of deep nets is beneficial for client collaboration.

Decentralized adaptive clustering of deep nets is beneficial for client collaboration. In: : . Paper presented at International Workshop on Trustworthy ...