A state-of-the-art survey on solving non-iid data in federated learning
Federated Learning (FL) proposed in recent years has received significant attention from
researchers in that it can enable multiple clients to cooperatively train global models without …
researchers in that it can enable multiple clients to cooperatively train global models without …
Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
[HTML][HTML] Federated learning in edge computing: a systematic survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
Dynamic-fusion-based federated learning for COVID-19 detection
Medical diagnostic image analysis (eg, CT scan or X-Ray) using machine learning is an
efficient and accurate way to detect COVID-19 infections. However, the sharing of diagnostic …
efficient and accurate way to detect COVID-19 infections. However, the sharing of diagnostic …
Blockchain-based federated learning for device failure detection in industrial IoT
Device failure detection is one of most essential problems in Industrial Internet of Things
(IIoT). However, in conventional IIoT device failure detection, client devices need to upload …
(IIoT). However, in conventional IIoT device failure detection, client devices need to upload …
Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions
Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
Deep reinforcement learning assisted federated learning algorithm for data management of IIoT
The continuous expanded scale of the industrial Internet of Things (IIoT) leads to IIoT
equipments generating massive amounts of user data every moment. According to the …
equipments generating massive amounts of user data every moment. According to the …
FED-IIoT: A robust federated malware detection architecture in industrial IoT
R Taheri, M Shojafar, M Alazab… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The sheer volume of industrial Internet of Things (IIoT) malware is one of the most serious
security threats in today's interconnected world, with new types of advanced persistent …
security threats in today's interconnected world, with new types of advanced persistent …
Federated transfer learning based cross-domain prediction for smart manufacturing
Smart manufacturing aims to support highly customizable production processes. Therefore,
the associated machine intelligence needs to be quickly adaptable to new products …
the associated machine intelligence needs to be quickly adaptable to new products …