Harmonizing Dietary Datasets Around the World for Global Diet Monitoring: Methods from the Global Dietary Database and the Global Individual Food Consumption Data Tool (OR06-06-19).
Sign Up to like & getrecommendations! Published in 2019 at "Current developments in nutrition"
DOI: 10.1093/cdn/nzz039.or06-06-19
Abstract: Objectives To systematically identify, compile, and harmonize national and sub-national individual-level dietary data around the world using a common food classification and description system (FCDS); promote collaboration with data owners worldwide; and publicly disseminate methods… read more here.
Keywords: methods global; global dietary; food; around world ... See more keywords
Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3050163
Abstract: Federated learning is a promising tool in the Internet-of-Things (IoT) domain for training a machine learning model in a decentralized manner. Specifically, the data owners (e.g., IoT device consumers) keep their raw data and only… read more here.
Keywords: private federated; federated learning; model; incentive mechanism ... See more keywords