27 citations · 59 across the 14 of their papers we have counts for
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cs.LG2021★ 27 cited
Decentralized federated learning of deep neural networks on non-iid data
Noa Onoszko, Gustav Karlsson, Olof Mogren +1
We tackle the non-convex problem of learning a personalized deep learning model in a decentralized setting. More specifically, we study decentralized federated learning, a peer-to-…
cs.LG2021
Scaling Federated Learning for Fine-tuning of Large Language Models
Agrin Hilmkil, Sebastian Callh, Matteo Barbieri +3
Federated learning (FL) is a promising approach to distributed compute, as well as distributed data, and provides a level of privacy and compliance to legal frameworks. This makes…