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Translating Federated Learning Algorithms in Python into CSP Processes Using ChatGPT
Popovic, Miroslav ; Popovic, Marko ; Djukic, Miodrag ; et al.
Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming
Shanwei Chen ; Xiuzhi Qi
Frontiers in Artificial Intelligence, Vol 8 (2025)
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Fluke: Federated learning utility framework for experimentation and research
Polato, Mirko
In Future Generation Computer Systems April 2026 177
A Simple Python Testbed for Federated Learning Algorithms
Popovic, Miroslav ; Popovic, Marko ; Kastelan, Ivan ; et al.
Federated Learning with Python : Design and implement a federated learning system and develop applications using existing frameworks
Kiyoshi Nakayama PhD ; George Jeno ; Kiyoshi Nakayama PhD ; et al.
Green Federated Learning: A New Era of Green Aware AI.
Thakur, Dipanwita ; Guzzo, Antonella ; Fortino, Giancarlo ; et al.
ACM Computing Surveys. Aug2025, Vol. 57 Issue 8, p1-36. 36p.
Federated Learning-Based ResNet-18 Model for Brain Tumor Classification in MRI Scans.
Anoosha, Shaga ; Seetharamulu, B.
Ingénierie des Systèmes d'Information. Aug2025, Vol. 30 Issue 8, p2021-2031. 11p.
ANOMALY DETECTION USINGARTIFICIAL NEURAL NETWORKSIN A FEDERATED LEARNING SETUPWITH PYTHON SOCKETINTEGRATION
Lekovic, Savo ; Lekovic, Savo
Securing healthcare data: A federated learning framework with hybrid encryption in cluster environments.
Srivenkateswaran, C ; Jaya Mabel Rani, A ; Senthil Kumaran, R ; et al.
Technology & Health Care. May2025, Vol. 33 Issue 3, p1232-1257. 26p.
Label flipping attacks in hierarchical federated learning for intrusion detection in IoT.
Elmahfoud, Ennaji ; El Hajla, Salah ; Maleh, Yassine ; et al.
Information Security Journal: A Global Perspective. 2025, Vol. 34 Issue 4, p310-326. 17p.
面向 VANETs 身份持续认证的隐私保护联邦学习方案.
夏元俊 ; 黎利辉 ; 任舒扬 ; et al.
Telecommunication Engineering. 7/28/2025, Vol. 65 Issue 7, p1007-1015. 9p.
OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python
Mattia Daole ; Alessio Schiavo ; José Luis Corcuera Bárcena ; et al.
SoftwareX, Vol 23, Iss , Pp 101505- (2023)
Belt and Braces: When Federated Learning Meets Differential Privacy.
Ren, Xuebin ; Yang, Shusen ; Zhao, Cong ; et al.
Communications of the ACM. Dec2024, Vol. 67 Issue 12, p66-77. 12p.
Mitigating Anomaly-Based DDoS Attack in Heterogeneous IoT Networks with a Federated Learning Model.
MUTHUKUMARAN, Chellaperumal ; SARAVANAKUMAR, Radhakrishnan ; SUSILA, Shanmugam Ganesan
Economic Computation & Economic Cybernetics Studies & Research. 2025, Vol. 59 Issue 3, p180-195. 16p.
A 2-Way Federated Aggregated Learning Through the Vision and Voice Data for Human Emotion Recognition.
Hussain, G. K. Jakir ; Manoj, G.
International Journal of Pattern Recognition & Artificial Intelligence. Sep2025, p1. 37p. 19 Illustrations.
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Forootani, Ali ; Iervolino, Raffaele
Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things.
Gan, Chenquan ; Xiao, Xinghai ; Zhu, Qingyi ; et al.
Expert Systems. Feb2025, Vol. 42 Issue 2, p1-23. 23p.
Progressive search personalization and privacy protection using federated learning.
Sarkar, Sagnik ; Agrawal, Shaashwat ; Chowdhuri, Aditi ; et al.
Expert Systems. Jan2025, Vol. 42 Issue 1, p1-12. 12p.
Modular Federated Learning: A Meta-Framework Perspective
Vicente, Frederico ; Soares, Cláudia ; Jakovetić, Dušan
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