79 citations · 264 across the 15 of their papers we have counts for
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cs.LG2023★ 3 cited
Guiding The Last Layer in Federated Learning with Pre-Trained Models
Gwen Legate, Nicolas Bernier, Lucas Caccia +2
Federated Learning (FL) is an emerging paradigm that allows a model to be trained across a number of participants without sharing data. Recent works have begun to consider the effe…
cs.LG2023★ 4 cited
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning
Gwen Legate, Lucas Caccia, Eugene Belilovsky
In Federated Learning, a global model is learned by aggregating model updates computed at a set of independent client nodes, to reduce communication costs multiple gradient steps a…