Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FLoBC: A Decentralized Blockchain-Based Federated Learning Framework   The rapid expansion of data worldwide invites the need for more distributed
solutions in order to apply machine learning on a much wider scale. The
resultant distributed learning systems can have various degrees of
centralization. In this work, we demonstrate our solution FLoBC for building a
generic decentralized federated learning system using blockchain technology,
accommodating any machine learning model that is compatible with gradient
descent optimization. We present our system design comprising the two
decentralized actors: trainer and validator, alongside our methodology for
ensuring reliable and efficient operation of said system. Finally, we utilize
FLoBC as an experimental sandbox to compare and contrast the effects of
trainer-to-validator ratio, reward-penalty policy, and model synchronization
schemes on the overall system performance, ultimately showing by example that a
decentralized federated learning system is indeed a feasible alternative to
more centralized architectures.

15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph