Communication-efficient distributed multi-task learning with matrix sparsity regularization

Qiang Zhou; Yu Chen; Sinno Jialin Pan

doi:10.1007/s10994-019-05847-6

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Communication-efficient distributed multi-task learning with matrix sparsity regularization

Qiang Zhou Yu Chen Sinno Jialin Pan

Year: 2019 Journal: Machine Learning Vol: 109 (3)Pages: 569-601 Publisher: Springer Science+Business Media

DOI: 10.1007/s10994-019-05847-6

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Keywords:

Computer science Regularization (linguistics) Distributed learning Labeled data Optimization problem Rate of convergence Task (project management) Artificial intelligence Machine learning Mathematical optimization Algorithm Mathematics Key (lock)

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Communication-efficient distributed multi-task learning with matrix sparsity regularization

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