Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FLAME: Federated Learning Across Multi-device Environments   Federated Learning (FL) enables distributed training of machine learning
models while keeping personal data on user devices private. While we witness
increasing applications of FL in the area of mobile sensing, such as
human-activity recognition, FL has not been studied in the context of a
multi-device environment (MDE), wherein each user owns multiple data-producing
devices. With the proliferation of mobile and wearable devices, MDEs are
increasingly becoming popular in ubicomp settings, therefore necessitating the
study of FL in them. FL in MDEs is characterized by high non-IID-ness across
clients, complicated by the presence of both user and device heterogeneities.
Further, ensuring efficient utilization of system resources on FL clients in a
MDE remains an important challenge. In this paper, we propose FLAME, a
user-centered FL training approach to counter statistical and system
heterogeneity in MDEs, and bring consistency in inference performance across
devices. FLAME features (i) user-centered FL training utilizing the time
alignment across devices from the same user; (ii) accuracy- and
efficiency-aware device selection; and (iii) model personalization to devices.
We also present an FL evaluation testbed with realistic energy drain and
network bandwidth profiles, and a novel class-based data partitioning scheme to
extend existing HAR datasets to a federated setup. Our experiment results on
three multi-device HAR datasets show that FLAME outperforms various baselines
by 4.8-33.8% higher F-1 score, 1.02-2.86x greater energy efficiency, and up to
2.02x speedup in convergence to target accuracy through fair distribution of
the FL workload.

25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
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The categories of this paper are: stat
31
The categories of this paper are: ao-sci
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The categories of this paper are: acc-phys
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The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph