Federated learning for smart cities: A comprehensive survey
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …
data, fog computing, and edge computing, smart city applications have suffered from issues …
Vertical federated learning: Concepts, advances, and challenges
Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with
different features about the same set of users jointly train machine learning models without …
different features about the same set of users jointly train machine learning models without …
Towards edge computing in intelligent manufacturing: Past, present and future
G Nain, KK Pattanaik, GK Sharma - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
Data analytics in quality 4.0: literature review and future research directions
A Bousdekis, K Lepenioti, D Apostolou… - International Journal of …, 2023 - Taylor & Francis
The quality level in manufacturing processes increasingly concerns manufacturing firms, as
they respond to pressures such as increasing complexity and variety of products, more …
they respond to pressures such as increasing complexity and variety of products, more …
A survey on vertical federated learning: From a layered perspective
Vertical federated learning (VFL) is a promising category of federated learning for the
scenario where data is vertically partitioned and distributed among parties. VFL enriches the …
scenario where data is vertically partitioned and distributed among parties. VFL enriches the …
Edge intelligence for data handling and predictive maintenance in IIOT
The use of IoT has become pervasive and IoT devices are common in many domains.
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …
Federated explainable artificial intelligence (fXAI): a digital manufacturing perspective
A Kusiak - International Journal of Production Research, 2024 - Taylor & Francis
The industry has embraced digitalisation leading to a greater reliance on models derived
from data. Understanding and getting insights into the models generated by machine …
from data. Understanding and getting insights into the models generated by machine …
Aggregation strategy on federated machine learning algorithm for collaborative predictive maintenance
A Bemani, N Björsell - Sensors, 2022 - mdpi.com
Industry 4.0 lets the industry build compact, precise, and connected assets and also has
made modern industrial assets a massive source of data that can be used in process …
made modern industrial assets a massive source of data that can be used in process …
Federated learning with SARIMA-based clustering for carbon emission prediction
T Cui, Y Shi, B Lv, R Ding, X Li - Journal of Cleaner Production, 2023 - Elsevier
Driven by the global Sustainable Development Goals, predicting the long-term trend of
carbon emissions in the industrial sector has important reference value for managing …
carbon emissions in the industrial sector has important reference value for managing …
[HTML][HTML] Smart and collaborative industrial IoT: A federated learning and data space approach
B Farahani, AK Monsefi - Digital Communications and Networks, 2023 - Elsevier
Industry 4.0 has become a reality by fusing the Industrial Internet of Things (IIoT) and
Artificial Intelligence (AI), providing huge opportunities in the way manufacturing companies …
Artificial Intelligence (AI), providing huge opportunities in the way manufacturing companies …