Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PANDA: A Dual Linearly Converging Method for Distributed Optimization
  over Time-Varying Undirected Graphs   In this paper we consider a distributed convex optimization problem over
time-varying networks. We propose a dual method that converges R-linearly to
the optimal point given that the agents' objective functions are strongly
convex and have Lipschitz continuous gradients. The proposed method requires
half the amount of variable exchanges per iterate than methods based on DIGing,
and yields improved practical performance as empirically demonstrated.

12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol