Zachary Garrett
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Stochastic Gradient Optimization Techniques, Mobile Crowdsensing and Crowdsourcing, Topic Modeling, Robotics and Sensor-Based Localization
Most-Cited Works
- → Advances and Open Problems in Federated Learning(2020)4,363 cited
- → A Field Guide to Federated Optimization(2021)167 cited
- → Adaptive Federated Optimization(2020)128 cited
- → Federated Reconstruction: Partially Local Federated Learning(2021)24 cited
- → Does Federated Dropout actually work?(2022)21 cited
- → Live video object tracking and segmentation using graph cuts(2008)9 cited
- → Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU(2009)6 cited
- → On Large-Cohort Training for Federated Learning(2021)3 cited
- → Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning(2023)3 cited
- Machine Learning to Predict Advertisement Targeting Solutions(2017)