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07/23/2023
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data
The correlation between children's personal and family characteristics (...
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01/20/2023
Baechi: Fast Device Placement of Machine Learning Graphs
Machine Learning graphs (or models) can be challenging or impossible to ...
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04/23/2022
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation
Semantic segmentation is important in medical image analysis. Inspired b...
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07/19/2021
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation
Universal lesion detection in computed tomography (CT) images is an impo...
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05/17/2021
Compressed Communication for Distributed Training: Adaptive Methods and System
Communication overhead severely hinders the scalability of distributed m...
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08/31/2020
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool
Because of the limits input/output systems currently impose on high-perf...
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07/30/2020
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization
Nowadays, as data becomes increasingly complex and distributed, data ana...
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07/26/2020
CSER: Communication-efficient SGD with Error Reset
The scalability of Distributed Stochastic Gradient Descent (SGD) is toda...
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11/20/2019
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates
Recent years have witnessed the growth of large-scale distributed machin...
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03/17/2019
Zeno++: robust asynchronous SGD with arbitrary number of Byzantine workers
We propose Zeno++, a new robust asynchronous synchronous Stochastic Grad...
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03/16/2019
SLSGD: Secure and Efficient Distributed On-device Machine Learning
We consider distributed on-device learning with limited communication an...
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03/16/2019
Practical Distributed Learning: Secure Machine Learning with Communication-Efficient Local Updates
Federated learning on edge devices poses new challenges arising from wor...
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03/10/2019
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
Recently, new defense techniques have been developed to tolerate Byzanti...
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03/10/2019
Asynchronous Federated Optimization
Federated learning enables training on a massive number of edge devices....
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05/25/2018
Zeno: Byzantine-suspicious stochastic gradient descent
We propose Zeno, a new robust aggregation rule, for distributed synchron...
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05/23/2018
Phocas: dimensional Byzantine-resilient stochastic gradient descent
We propose a novel robust aggregation rule for distributed synchronous S...
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02/27/2018
Generalized Byzantine-tolerant SGD
We propose three new robust aggregation rules for distributed synchronou...
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02/14/2018
Attack RMSE Leaderboard: An Introduction and Case Study
In this manuscript, we briefly introduce several tricks to climb the lea...
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11/18/2015
Wishart Mechanism for Differentially Private Principal Components Analysis
We propose a new input perturbation mechanism for publishing a covarianc...
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09/08/2015