BLOCKCHAIN-BASED IoFLT FEDERATED LEARNING IN A FUZZY/GAN ENVIRONMENT FOR A SMART TRADING BOT

被引：1

作者：

Aguilera, Ricardo Carreno ^{[1
]}

Ortiz, Miguel Patino ^{[2
]}

Esteva, Veronica Aguilar ^{[1
]}

Bautista, Daniel Pacheco ^{[1
]}

机构：

[1] Univ Istmo, Campus Tehuantepec Ciudad Universitaria S-N Barrio, Oaxaca 70760, OAX, Mexico

[2] Inst Politecn Nacl Escuela Super Ingenieria Mecan, Ave Luis Enr Erro S-N Un Profesional Adolfo Lopez, Gustavo A Madero 07738, Mexico

来源：

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY | 2023年 / 31卷 / 01期

关键词：

Blockchain; IoT Federated Learning (IoFLT); Generative Adversarial Network (GAN); SYSTEM;

D O I：

10.1142/S0218348X23500056

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

A DAPP is performed with collaborative training, where "Federated Learning " uses each device client to work as a singular artificial intelligence model using machine learning. The purpose is to reduce the latency by using computing resources from all client devices and increase privacy since personal data does not leave the client's devices. Applying machine learning massively in decentralized trading bots using blockchain seems to be a great solution. This learning solution can be improved using a fuzzy generative adversarial network environment to help the training. In this case, the expert system has a Python bot to interact with the Binance API to place buy/sell orders for the BTC-USD pair.

引用

页数：10

共 50 条

[21] Blockchain-Based Federated Learning for Data Privacy and Security
Murugan, G.
Divyashree, D.
Ravisankar, P.
Vasudevan, M.
Karthikeyan, T.
Singh, Devesh Pratap
2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
[22] BAFL: A Blockchain-Based Asynchronous Federated Learning Framework
Feng, Lei
Zhao, Yiqi
Guo, Shaoyong
Qiu, Xuesong
Li, Wenjing
Yu, Peng
IEEE TRANSACTIONS ON COMPUTERS, 2022, 71 (05) : 1092 - 1103
[23] Time-Efficient Blockchain-Based Federated Learning
Lin, Rongping
Wang, Fan
Luo, Shan
Wang, Xiong
Zukerman, Moshe
IEEE-ACM TRANSACTIONS ON NETWORKING, 2024,
[24] Blockchain-based Secure Client Selection in Federated Learning
Nguyen, Truc
Thai, Phuc
Jeter, Tre R.
Dinht, Thang N.
Thai, My T.
2022 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN AND CRYPTOCURRENCY (IEEE ICBC 2022), 2022,
[25] The Design of Reputation System for Blockchain-based Federated Learning
Chen, Xinyan
Wang, Taotao
Zhang, Shengli
2021 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGY (AIBT 2021), 2021, : 114 - 120
[26] ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning
Madill, Evan
Nguyen, Ben
Leung, Carson K.
Rouhani, Sara
BSCI'22: PROCEEDINGS OF THE FOURTH ACM INTERNATIONAL SYMPOSIUM ON BLOCKCHAIN AND SECURE CRITICAL INFRASTRUCTURE, 2022, : 95 - 106
[27] Blockchain-based Mechanisms for Local Energy Trading in Smart Grids
Moniruzzaman, Md
Yassine, Abdulsalam
Benlamri, Rachid
2019 IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITIES: IMPROVING QUALITY OF LIFE USING ICT, IOT AND AI (IEEE HONET-ICT 2019), 2019, : 110 - 114
[28] A Blockchain-Based Energy Trading Platform for Smart Homes in a Microgrid
Kang, Eung Seon
Pee, Seung Jae
Song, Jae Geun
Jang, Ju Wook
PROCEEDINGS OF 2018 3RD INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS), 2018, : 472 - 476
[29] Towards Efficient and Trustworthy Pandemic Diagnosis in Smart Cities: A Blockchain-Based Federated Learning Approach
Abdel-Basset, Mohamed
Alrashdi, Ibrahim
Hawash, Hossam
Sallam, Karam
Hameed, Ibrahim A.
MATHEMATICS, 2023, 11 (14)
[30] Blockchain-Based Federated Learning Technique for Privacy Preservation and Security of Smart Electronic Health Records
Guduri, Manisha
Chakraborty, Chinmay
Maheswari, V. Uma
Margala, Martin
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 70 (01) : 2608 - 2617

← 1 2 3 4 5 →