Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Popovič, Miroslav"'
Python Testbed for Federated Learning Algorithms (PTB-FLA) is a simple FL framework targeting smart Internet of Things in edge systems that provides both generic centralized and decentralized FL algorithms, which implement the corresponding FL orches
Externí odkaz:
http://arxiv.org/abs/2410.13429
Sharding is a promising technique for addressing the scalability issues of blockchain. It divides the $n$ participating nodes into $s$ disjoint groups called shards, where each shard processes transactions in parallel. We investigate scheduling algor
Externí odkaz:
http://arxiv.org/abs/2405.15015
Recently, Python Testbed for Federated Learning Algorithms emerged as a low code and generative large language models amenable framework for developing decentralized and distributed applications, primarily targeting edge systems, by nonprofessional p
Externí odkaz:
http://arxiv.org/abs/2405.09423
The Python Testbed for Federated Learning Algorithms is a simple Python FL framework easy to use by ML&AI developers who do not need to be professional programmers, and this paper shows that it is also amenable to emerging AI tools. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2312.04412
Publikováno v:
Springer, LNCS 14390, 2024
At present many distributed and decentralized frameworks for federated learning algorithms are already available. However, development of such a framework targeting smart Internet of Things in edge systems is still an open challenge. A solution to th
Externí odkaz:
http://arxiv.org/abs/2310.05102
Autor:
Prokić, Ivan, Ghilezan, Silvia, Kašterović, Simona, Popovic, Miroslav, Popovic, Marko, Kaštelan, Ivan
Federated learning (FL) is a machine learning setting where clients keep the training data decentralised and collaboratively train a model either under the coordination of a central server (centralised FL) or in a peer-to-peer network (decentralised
Externí odkaz:
http://arxiv.org/abs/2306.14529
Nowadays many researchers are developing various distributed and decentralized frameworks for federated learning algorithms. However, development of such a framework targeting smart Internet of Things in edge systems is still an open challenge. In th
Externí odkaz:
http://arxiv.org/abs/2305.20027
Publikováno v:
In Proceedings of 7th Conference on the Engineering of Computer Based Systems (ECBS 2021). ACM, New York, NY, USA, 9 pages. 2021
Many online transaction scheduler architectures and algorithms for various software transactional memories have been designed in order to maintain good system performance even for high concurrency workloads. Most of these algorithms were directly imp
Externí odkaz:
http://arxiv.org/abs/2305.08380
Autor:
Qiu, Jie, Han, Junsoo, Schoell, Ryan, Popovic, Miroslav, Ghanbari, Elmira, Kaoumi, Djamel, Scully, John R, Macdonald, Digby D, Hosemann, Peter
The impedance behavior of pre-oxidized iron in liquid lead-bismuth eutectic (LBE) at 200 oC is studied using electrochemical impedance spectroscopy. The structures and resistance of oxide grown on iron oxidized in air at different temperatures and du
Externí odkaz:
http://arxiv.org/abs/2010.05372
Autor:
Busch, Costas, Chlebus, Bogdan S., Herlihy, Maurice, Popovic, Miroslav, Poudel, Pavan, Sharma, Gokarna
Publikováno v:
In Theoretical Computer Science 2 November 2023 978
