A Federated Learning Framework for Enforcing Traceability in Manufacturing Processes

[PDF] ieee.org

AI and Blockchain Synergy in Aerospace Engineering: An Impact Survey on Operational Efficiency and Technological Challenges

Y Abdulrahman, E Arnautović, V Parezanović… - IEEE …, 2023 - ieeexplore.ieee.org
This paper presents an exhaustive investigation into the potential of integrating blockchain
and Artificial Intelligence (AI) technologies within aerospace engineering, explicitly …
被引用次数：8 相关文章 所有 2 个版本

Enhancing Edge-Based Federated Learning with Privacy-Preserving Gradient Transmission for Tool Wear Detection

CW Hung, CY Tsai, CH Lee - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
This article focuses on the development of a personalized federated learning (PFL) edge
training platform that ensures privacy during gradient transmission (both uploading and …
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[PDF] arxiv.org

Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry

Y Han, J Tao - arXiv preprint arXiv:2401.10273, 2024 - arxiv.org
This document offers a critical overview of the emerging trends and significant
advancements in artificial intelligence (AI) within the pharmaceutical industry. Detailing its …
相关文章 所有 2 个版本

Synergizing Aerospace Efficiency: Blockchain and AI Integration for Enhanced Security in Flight Data Management

S Surya, R Elakya, S Selvanayaki - AI and Blockchain Optimization …, 2024 - igi-global.com
Blockchain and artificial intelligence are two emerging technologies with a wide range of
industrial uses. Artificial intelligence (AI) has the capacity to learn on its own, which makes it …
相关文章 所有 2 个版本