GAPSL: A Gradient-Aligned Parallel Split Learning on Heterogeneous Data
GAPSL: A Gradient-Aligned Parallel Split Learning on Heterogeneous Data explores A framework for efficient and accurate federated learning on resource-constrained devices by aligning client gradients.. Commercial viability score: 7/10 in Federated Learning.
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