SubFLOT uses optimal transport to generate data-aware personalized submodels via server-side pruning and scaling-based adaptive regularization to mitigate parametric divergence in heterogeneous federated learning.
On the translocation of masses.Jour- nal of mathematical sciences, 133(4):1381–1382
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SubFLOT: Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport
SubFLOT uses optimal transport to generate data-aware personalized submodels via server-side pruning and scaling-based adaptive regularization to mitigate parametric divergence in heterogeneous federated learning.