Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Communication efficient privacy-preserving distributed optimization
  using adaptive differential quantization   Privacy issues and communication cost are both major concerns in distributed
optimization. There is often a trade-off between them because the encryption
methods required for privacy-preservation often incur expensive communication
bandwidth. To address this issue, we, in this paper, propose a
quantization-based approach to achieve both communication efficient and
privacy-preserving solutions in the context of distributed optimization. By
deploying an adaptive differential quantization scheme, we allow each node in
the network to achieve its optimum solution with a low communication cost while
keeping its private data unrevealed. Additionally, the proposed approach is
general and can be applied in various distributed optimization methods, such as
the primal-dual method of multipliers (PDMM) and the alternating direction
method of multipliers (ADMM). Moveover, we consider two widely used adversary
models: passive and eavesdropping. Finally, we investigate the properties of
the proposed approach using different applications and demonstrate its superior
performance in terms of several parameters including accuracy, privacy, and
communication cost.

12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg