[HTML][HTML] Blockchain-based recommender systems: Applications, challenges and future opportunities
Recommender systems have been widely used in different application domains including
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
Decentralized federated learning with intermediate results in mobile edge computing
The emerging Federated Learning (FL) permits all workers (eg, mobile devices) to
cooperatively train a model using their local data at the network edge. In order to avoid the …
cooperatively train a model using their local data at the network edge. In order to avoid the …
Quantized distributed federated learning for industrial internet of things
T Ma, H Wang, C Li - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Federated learning (FL) enables multiple devices to collaboratively train a shared machine
learning (ML) model while keeping all the local data private, which is a crucial enabler to …
learning (ML) model while keeping all the local data private, which is a crucial enabler to …
Communication efficient tensor factorization for decentralized healthcare networks
Tensor factorization has been proved as an efficient unsupervised learning approach for
health data analysis, especially for computational phenotyping, where the high-dimensional …
health data analysis, especially for computational phenotyping, where the high-dimensional …
Privacy preservation using optimized Federated Learning: A critical survey
FL is a futuristic research topic that enables cross-sectoral training in ML systems in various
organizations with some privacy restrictions. This review article establishes the extensive …
organizations with some privacy restrictions. This review article establishes the extensive …
TrustlessNAS: Towards Trustless Network Architecture Search
LAD Bathen, D Jadav - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Machine learning (ML) and artificial intelligence (AI) technologies are becoming intrinsic in
our every-day life. These technologies are present in our vehicles, our customer service …
our every-day life. These technologies are present in our vehicles, our customer service …
Federated Tensor Factorization for Collaborative Health Data Analytics
J Ma - 2021 - search.proquest.com
Modern healthcare systems are collecting a huge volume of healthcare data from a large
number of individuals with various medical procedures, medications, diagnosis, lab tests …
number of individuals with various medical procedures, medications, diagnosis, lab tests …