Cong Xie | DeepAI

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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 (...

0 Zhihan Jiang, et al. ∙

∙ 01/20/2023

Baechi: Fast Device Placement of Machine Learning Graphs

Machine Learning graphs (or models) can be challenging or impossible to ...

0 Beomyeol Jeon, et al. ∙

∙ 04/23/2022

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation

Semantic segmentation is important in medical image analysis. Inspired b...

0 Cong Xie, et al. ∙

∙ 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...

0 Cong Xie, et al. ∙

∙ 05/17/2021

Compressed Communication for Distributed Training: Adaptive Methods and System

Communication overhead severely hinders the scalability of distributed m...

15 Yuchen Zhong, et al. ∙

∙ 08/31/2020

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool

Because of the limits input/output systems currently impose on high-perf...

0 Sungsoo Ha, et al. ∙

∙ 07/30/2020

SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization

Nowadays, as data becomes increasingly complex and distributed, data ana...

0 Jiazhi Xia, et al. ∙

∙ 07/26/2020

CSER: Communication-efficient SGD with Error Reset

The scalability of Distributed Stochastic Gradient Descent (SGD) is toda...

2 Cong Xie, et al. ∙

∙ 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...

0 Cong Xie, et al. ∙

∙ 03/17/2019

Zeno++: robust asynchronous SGD with arbitrary number of Byzantine workers

We propose Zeno++, a new robust asynchronous synchronous Stochastic Grad...

0 Cong Xie, et al. ∙

∙ 03/16/2019

SLSGD: Secure and Efficient Distributed On-device Machine Learning

We consider distributed on-device learning with limited communication an...

0 Cong Xie, et al. ∙

∙ 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...

0 Cong Xie, et al. ∙

∙ 03/10/2019

Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation

Recently, new defense techniques have been developed to tolerate Byzanti...

0 Cong Xie, et al. ∙

∙ 03/10/2019

Asynchronous Federated Optimization

Federated learning enables training on a massive number of edge devices....

0 Cong Xie, et al. ∙

∙ 05/25/2018

Zeno: Byzantine-suspicious stochastic gradient descent

We propose Zeno, a new robust aggregation rule, for distributed synchron...

0 Cong Xie, et al. ∙

∙ 05/23/2018

Phocas: dimensional Byzantine-resilient stochastic gradient descent

We propose a novel robust aggregation rule for distributed synchronous S...

0 Cong Xie, et al. ∙

∙ 02/27/2018

Generalized Byzantine-tolerant SGD

We propose three new robust aggregation rules for distributed synchronou...

0 Cong Xie, et al. ∙

∙ 02/14/2018

Attack RMSE Leaderboard: An Introduction and Case Study

In this manuscript, we briefly introduce several tricks to climb the lea...

0 Cong Xie, et al. ∙

∙ 11/18/2015

Wishart Mechanism for Differentially Private Principal Components Analysis

We propose a new input perturbation mechanism for publishing a covarianc...

0 Wuxuan Jiang, et al. ∙

∙ 09/08/2015

A Scalable and Extensible Framework for Superposition-Structured Models

In many learning tasks, structural models usually lead to better interpr...

0 Shenjian Zhao, et al. ∙

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