Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Homogeneous Learning: Self-Attention Decentralized Deep Learning   Federated learning (FL) has been facilitating privacy-preserving deep
learning in many walks of life such as medical image classification, network
intrusion detection, and so forth. Whereas it necessitates a central parameter
server for model aggregation, which brings about delayed model communication
and vulnerability to adversarial attacks. A fully decentralized architecture
like Swarm Learning allows peer-to-peer communication among distributed nodes,
without the central server. One of the most challenging issues in decentralized
deep learning is that data owned by each node are usually non-independent and
identically distributed (non-IID), causing time-consuming convergence of model
training. To this end, we propose a decentralized learning model called
Homogeneous Learning (HL) for tackling non-IID data with a self-attention
mechanism. In HL, training performs on each round's selected node, and the
trained model of a node is sent to the next selected node at the end of each
round. Notably, for the selection, the self-attention mechanism leverages
reinforcement learning to observe a node's inner state and its surrounding
environment's state, and find out which node should be selected to optimize the
training. We evaluate our method with various scenarios for an image
classification task. The result suggests that HL can produce a better
performance compared with standalone learning and greatly reduce both the total
training rounds by 50.8% and the communication cost by 74.6% compared with
random policy-based decentralized learning for training on non-IID data.

14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat