Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Distributed Multitask Learning   We consider the problem of distributed multi-task learning, where each
machine learns a separate, but related, task. Specifically, each machine learns
a linear predictor in high-dimensional space,where all tasks share the same
small support. We present a communication-efficient estimator based on the
debiased lasso and show that it is comparable with the optimal centralized
method.

36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
2
The categories of this paper are: math