Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FedDrive: Generalizing Federated Learning to Semantic Segmentation in
  Autonomous Driving   Semantic Segmentation is essential to make self-driving vehicles autonomous,
enabling them to understand their surroundings by assigning individual pixels
to known categories. However, it operates on sensible data collected from the
users' cars; thus, protecting the clients' privacy becomes a primary concern.
For similar reasons, Federated Learning has been recently introduced as a new
machine learning paradigm aiming to learn a global model while preserving
privacy and leveraging data on millions of remote devices. Despite several
efforts on this topic, no work has explicitly addressed the challenges of
federated learning in semantic segmentation for driving so far. To fill this
gap, we propose FedDrive, a new benchmark consisting of three settings and two
datasets, incorporating the real-world challenges of statistical heterogeneity
and domain generalization. We benchmark state-of-the-art algorithms from the
federated learning literature through an in-depth analysis, combining them with
style transfer methods to improve their generalization ability. We demonstrate
that correctly handling normalization statistics is crucial to deal with the
aforementioned challenges. Furthermore, style transfer improves performance
when dealing with significant appearance shifts. We plan to make both the code
and the benchmark publicly available to the research community.

20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat