Federated learning for smart cities: A comprehensive survey

S Pandya, G Srivastava, R Jhaveri, MR Babu… - Sustainable Energy …, 2023 - Elsevier
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 …

Vertical federated learning: Concepts, advances, and challenges

Y Liu, Y Kang, T Zou, Y Pu, Y He, X Ye… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
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 …

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 …

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 …

A survey on vertical federated learning: From a layered perspective

L Yang, D Chai, J Zhang, Y **, L Wang, H Liu… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

Edge intelligence for data handling and predictive maintenance in IIOT

T Hafeez, L Xu, G Mcardle - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

[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 …