FedPower improves the accuracy-privacy tradeoff in differentially private LoRA-based federated learning by reconstructing and clipping full-rank updates then using PowerDP to inject noise before orthonormalization in low-rank factorization.
Natural language un- derstanding with the Quora question pairs dataset
3 Pith papers cite this work. Polarity classification is still indexing.
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abstract
This paper explores the task Natural Language Understanding (NLU) by looking at duplicate question detection in the Quora dataset. We conducted extensive exploration of the dataset and used various machine learning models, including linear and tree-based models. Our final finding was that a simple Continuous Bag of Words neural network model had the best performance, outdoing more complicated recurrent and attention based models. We also conducted error analysis and found some subjectivity in the labeling of the dataset.
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Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation
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