Federated learning for IoUT: Concepts, applications, challenges and opportunities
N Victor, M Alazab, S Bhattacharya… - arXiv preprint arXiv …, 2022 - arxiv.org
Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade
with applications spanning from environmental monitoring and exploration, defence …
with applications spanning from environmental monitoring and exploration, defence …
Federated learning for iout: Concepts, applications, challenges and future directions
N Victor, R Chengoden, M Alazab… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade
with applications spanning from environmental monitoring and exploration, defence …
with applications spanning from environmental monitoring and exploration, defence …
Fed-IoUT: Opportunities and challenges of federated learning in the Internet of Underwater Things
The Internet of Underwater Things (IoUT), as an emerging technology, plays an important
role in the development of marine resources. With the growth of IoUT equipment, data from …
role in the development of marine resources. With the growth of IoUT equipment, data from …
Maritime federated learning for decentralized on-ship intelligence
A Giannopoulos, N Nomikos, G Ntroulias… - … Conference on Artificial …, 2023 - Springer
Maritime trade unavoidably influences the economy, transportation and market worldwide.
Deploying efficient, privacy-preserving and environmental-friendly solutions in maritime …
Deploying efficient, privacy-preserving and environmental-friendly solutions in maritime …
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 …
Recent advances on federated learning for cybersecurity and cybersecurity for federated learning for internet of things
Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …
emerging Internet of Things (IoT) has gained a lot of attention from the government …
[HTML][HTML] Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions
Abstract Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a
reputation for not only building Machine Learning (ML) models that rely on distributed …
reputation for not only building Machine Learning (ML) models that rely on distributed …
Federated learning for maritime environments: use cases, experimental results, and open issues
Maritime transportation is crucial for global trade and responsible for the majority of goods
movement worldwide. The optimization of maritime operations is challenged by the …
movement worldwide. The optimization of maritime operations is challenged by the …
Federated learning and its role in the privacy preservation of IoT devices
Federated learning (FL) is a cutting-edge artificial intelligence approach. It is a decentralized
problem-solving technique that allows users to train using massive data. Unprocessed …
problem-solving technique that allows users to train using massive data. Unprocessed …
Federated learning for the internet of things: Applications, challenges, and opportunities
Billions of IoT devices will be deployed in the near future, taking advantage of faster Internet
speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the …
speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the …