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Found 8 papers, 5 papers with code
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation
We design a scalable algorithm to privately generate location heatmaps over decentralized data from millions of user devices.
Policy-Based Federated Learning
In this paper we present PoliFL, a decentralized, edge-based framework that supports heterogeneous privacy policies for federated learning.
Creative Procedural-Knowledge Extraction From Web Design Tutorials
Complex design tasks often require performing diverse actions in a specific order.
Augmenting Gastrointestinal Health: A Deep Learning Approach to Human Stool Recognition and Characterization in Macroscopic Images
Purpose - Functional bowel diseases, including irritable bowel syndrome, chronic constipation, and chronic diarrhea, are some of the most common diseases seen in clinical practice.
How To Backdoor Federated Learning
An attacker selected in a single round of federated learning can cause the global model to immediately reach 100% accuracy on the backdoor task.
Collaborative Metric Learning
Metric learning algorithms produce distance metrics that capture the important relationships among data.
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Yum-me: A Personalized Nutrient-based Meal Recommender System
We propose Yum-me, a personalized nutrient-based meal recommender system designed to meet individuals' nutritional expectations, dietary restrictions, and fine-grained food preferences.
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis
User preference profiling is an important task in modern online social networks (OSN).
