Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Privacy-Preserving Wireless Federated Learning Exploiting Inherent
  Hardware Impairments   We consider a wireless federated learning system where multiple data holder
edge devices collaborate to train a global model via sharing their parameter
updates with an honest-but-curious parameter server. We demonstrate that the
inherent hardware-induced distortion perturbing the model updates of the edge
devices can be exploited as a privacy-preserving mechanism. In particular, we
model the distortion as power-dependent additive Gaussian noise and present a
power allocation strategy that provides privacy guarantees within the framework
of differential privacy. We conduct numerical experiments to evaluate the
performance of the proposed power allocation scheme under different levels of
hardware impairments.

28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph