 Correlated quantization for distributed mean estimation and optimizationInternational Conference on Machine Learning (ICML), 2022 |
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 Software-Hardware Co-design for Fast and Scalable Training of Deep
Learning Recommendation ModelsInternational Symposium on Computer Architecture (ISCA), 2021 |
 Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group AveragingIEEE Transactions on Parallel and Distributed Systems (TPDS), 2020 |
 On Biased Compression for Distributed LearningJournal of machine learning research (JMLR), 2020 |
 On the Discrepancy between the Theoretical Analysis and Practical
Implementations of Compressed Communication for Distributed Deep LearningAAAI Conference on Artificial Intelligence (AAAI), 2019 |
 Progressive Compressed Records: Taking a Byte out of Deep Learning DataProceedings of the VLDB Endowment (PVLDB), 2019 |
 Natural Compression for Distributed Deep LearningMathematical and Scientific Machine Learning (MSML), 2019 |
