Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning   Applying Federated Learning (FL) on Internet-of-Things devices is
necessitated by the large volumes of data they produce and growing concerns of
data privacy. However, there are three challenges that need to be addressed to
make FL efficient: (i) execution on devices with limited computational
capabilities, (ii) accounting for stragglers due to computational heterogeneity
of devices, and (iii) adaptation to the changing network bandwidths. This paper
presents FedAdapt, an adaptive offloading FL framework to mitigate the
aforementioned challenges. FedAdapt accelerates local training in
computationally constrained devices by leveraging layer offloading of deep
neural networks (DNNs) to servers. Further, FedAdapt adopts reinforcement
learning based optimization and clustering to adaptively identify which layers
of the DNN should be offloaded for each individual device on to a server to
tackle the challenges of computational heterogeneity and changing network
bandwidth. Experimental studies are carried out on a lab-based testbed and it
is demonstrated that by offloading a DNN from the device to the server FedAdapt
reduces the training time of a typical IoT device by over half compared to
classic FL. The training time of extreme stragglers and the overall training
time can be reduced by up to 57%. Furthermore, with changing network bandwidth,
FedAdapt is demonstrated to reduce the training time by up to 40% when compared
to classic FL, without sacrificing accuracy.

7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph