FedGSA aggregates differentially private federated LoRA updates as subspaces on a Grassmann manifold, improving GLUE and E2E NLG accuracy over Euclidean averaging baselines.
InProceedings of the 2018 conference oftheNorthAmericanchapteroftheassociationforcompu- tationallinguistics:humanlanguagetechnologies,volume1 (long papers), 1112–1122
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FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA
FedGSA aggregates differentially private federated LoRA updates as subspaces on a Grassmann manifold, improving GLUE and E2E NLG accuracy over Euclidean averaging baselines.