Search Results for author: Deborah Estrin

Found 8 papers, 5 papers with code

Policy-Based Federated Learning

2 code implementations14 Mar 2020 Kleomenis Katevas, Eugene Bagdasaryan, Jason Waterman, Mohamad Mounir Safadieh, Eleanor Birrell, Hamed Haddadi, Deborah Estrin

In this paper we present PoliFL, a decentralized, edge-based framework that supports heterogeneous privacy policies for federated learning.

Federated Learning Image Classification

Augmenting Gastrointestinal Health: A Deep Learning Approach to Human Stool Recognition and Characterization in Macroscopic Images

no code implementations25 Mar 2019 David Hachuel, Akshay Jha, Deborah Estrin, Alfonso Martinez, Kyle Staller, Christopher Velez

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

3 code implementations2 Jul 2018 Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov

An attacker selected in a single round of federated learning can cause the global model to immediately reach 100% accuracy on the backdoor task.

Anomaly Detection Data Poisoning +2

Yum-me: A Personalized Nutrient-based Meal Recommender System

2 code implementations25 May 2016 Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, Nicola Dell, Serge Belongie, Curtis Cole, Deborah Estrin

We propose Yum-me, a personalized nutrient-based meal recommender system designed to meet individuals' nutritional expectations, dietary restrictions, and fine-grained food preferences.

Benchmarking Recommendation Systems

Cannot find the paper you are looking for? You can Submit a new open access paper.