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cs.LG2024
FLoCoRA: Federated learning compression with low-rank adaptation
Lucas Grativol Ribeiro, Mathieu Leonardon, Guillaume Muller +2
Low-Rank Adaptation (LoRA) methods have gained popularity in efficient parameter fine-tuning of models containing hundreds of billions of parameters. In this work, instead, we demo…
cs.LG2023
Federated learning compression designed for lightweight communications
Lucas Grativol Ribeiro, Mathieu Leonardon, Guillaume Muller +2
Federated Learning (FL) is a promising distributed method for edge-level machine learning, particularly for privacysensitive applications such as those in military and medical doma…