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06/20/2023
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI
Brain structural MRI has been widely used to assess the future progressi...
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02/10/2023
XFL: A High Performace, Lightweighted Federated Learning Framework
This paper introduces XFL, an industrial-grade federated learning projec...
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01/21/2023
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
With the growing model size, deep neural networks (DNN) are increasingly...
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12/24/2022
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI
Late-life depression (LLD) is a highly prevalent mood disorder occurring...
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02/11/2021
Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data
Many application scenarios call for training a machine learning model am...
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06/10/2020
OpEvo: An Evolutionary Method for Tensor Operator Optimization
Training and inference efficiency of deep neural networks highly rely on...
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05/22/2018
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA
Deep learning emerges as an important new resource-intensive workload an...
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05/19/2018
