33 citations · 37 across the 2 of their papers we have counts for
2 papers
cs.CR2020★ 4 cited
Policy-Based Federated Learning
Kleomenis Katevas, Eugene Bagdasaryan, Jason Waterman +4
In this paper we present PoliFL, a decentralized, edge-based framework that supports heterogeneous privacy policies for federated learning. We evaluate our system on three use case…
cs.HC2016★ 33 cited
Yum-me: A Personalized Nutrient-based Meal Recommender System
Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang +4
Nutrient-based meal recommendations have the potential to help individuals prevent or manage conditions such as diabetes and obesity. However, learning people's food preferences an…