Client selection in federated learning: Principles, challenges, and opportunities
As a privacy-preserving paradigm for training machine learning (ML) models, federated
learning (FL) has received tremendous attention from both industry and academia. In a …
learning (FL) has received tremendous attention from both industry and academia. In a …
Deep learning: Systematic review, models, challenges, and research directions
T Talaei Khoei, H Ould Slimane… - Neural Computing and …, 2023 - Springer
The current development in deep learning is witnessing an exponential transition into
automation applications. This automation transition can provide a promising framework for …
automation applications. This automation transition can provide a promising framework for …
Federated learning for privacy-preserving: A review of PII data analysis in Fintech
There has been tremendous growth in the field of AI and machine learning. The
developments across these fields have resulted in a considerable increase in other FinTech …
developments across these fields have resulted in a considerable increase in other FinTech …
Edgeshard: Efficient llm inference via collaborative edge computing
Large language models (LLMs) have shown great success in content generation and
intelligent intelligent decision-making for IoT systems. Traditionally, LLMs are deployed on …
intelligent intelligent decision-making for IoT systems. Traditionally, LLMs are deployed on …
A systematic review of federated learning: Challenges, aggregation methods, and development tools
BS Guendouzi, S Ouchani, HEL Assaad… - Journal of Network and …, 2023 - Elsevier
Since its inception in 2016, federated learning has evolved into a highly promising decentral-
ized machine learning approach, facilitating collaborative model training across numerous …
ized machine learning approach, facilitating collaborative model training across numerous …
A survey of machine and deep learning methods for privacy protection in the internet of things
Recent advances in hardware and information technology have accelerated the proliferation
of smart and interconnected devices facilitating the rapid development of the Internet of …
of smart and interconnected devices facilitating the rapid development of the Internet of …
Federated learning for edge computing: A survey
New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …
network, allowing edge devices to train simple models that can then be deployed in practice …
Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
[HTML][HTML] User-centric privacy preserving models for a new era of the Internet of Things
JE Rivadeneira, JS Silva, R Colomo-Palacios… - Journal of Network and …, 2023 - Elsevier
New concepts based on the Internet of Things propose the integration of the human factor as
a key component of novel interconnected ecosystems, to offer them new services and …
a key component of novel interconnected ecosystems, to offer them new services and …
Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey
The metaverse is a nascent concept that envisions a virtual universe, a collaborative space
where individuals can interact, create, and participate in a wide range of activities. Privacy in …
where individuals can interact, create, and participate in a wide range of activities. Privacy in …