123 citations · 138 across the 16 of their papers we have counts for
3 papers · 1 filter
Optimal Model Averaging: Towards Personalized Collaborative Learning
Felix Grimberg, Mary-Anne Hartley, Sai P. Karimireddy +1
In federated learning, differences in the data or objectives between the participating nodes motivate approaches to train a personalized machine learning model for each node. One s…
WAFFLE: Weighted Averaging for Personalized Federated Learning
Martin Beaussart, Felix Grimberg, Mary-Anne Hartley +1
In federated learning, model personalization can be a very effective strategy to deal with heterogeneous training data across clients. We introduce WAFFLE (Weighted Averaging For F…
IFedAvg: Interpretable Data-Interoperability for Federated Learning
David Roschewitz, Mary-Anne Hartley, Luca Corinzia +1
Recently, the ever-growing demand for privacy-oriented machine learning has motivated researchers to develop federated and decentralized learning techniques, allowing individual cl…