Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: UAV-assisted Online Machine Learning over Multi-Tiered Networks: A
  Hierarchical Nested Personalized Federated Learning Approach   We investigate training machine learning (ML) models across a set of
geo-distributed, resource-constrained clusters of devices through unmanned
aerial vehicles (UAV) swarms. The presence of time-varying data heterogeneity
and computational resource inadequacy among device clusters motivate four key
parts of our methodology: (i) stratified UAV swarms of leader, worker, and
coordinator UAVs, (ii) hierarchical nested personalized federated learning
(HN-PFL), a distributed ML framework for personalized model training across the
worker-leader-core network hierarchy, (iii) cooperative UAV resource pooling to
address computational inadequacy of devices by conducting model training among
the UAV swarms, and (iv) model/concept drift to model time-varying data
distributions. In doing so, we consider both micro (i.e., UAV-level) and macro
(i.e., swarm-level) system design. At the micro-level, we propose network-aware
HN-PFL, where we distributively orchestrate UAVs inside swarms to optimize
energy consumption and ML model performance with performance guarantees. At the
macro-level, we focus on swarm trajectory and learning duration design, which
we formulate as a sequential decision making problem tackled via deep
reinforcement learning. Our simulations demonstrate the improvements achieved
by our methodology in terms of ML performance, network resource savings, and
swarm trajectory efficiency.

28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio