
-
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool
Because of the limits input/output systems currently impose on high-perf...
read it
-
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization
Nowadays, as data becomes increasingly complex and distributed, data ana...
read it
-
CSER: Communication-efficient SGD with Error Reset
The scalability of Distributed Stochastic Gradient Descent (SGD) is toda...
read it
-
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates
Recent years have witnessed the growth of large-scale distributed machin...
read it
-
Zeno++: robust asynchronous SGD with arbitrary number of Byzantine workers
We propose Zeno++, a new robust asynchronous synchronous Stochastic Grad...
read it
-
SLSGD: Secure and Efficient Distributed On-device Machine Learning
We consider distributed on-device learning with limited communication an...
read it
-
Practical Distributed Learning: Secure Machine Learning with Communication-Efficient Local Updates
Federated learning on edge devices poses new challenges arising from wor...
read it
-
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
Recently, new defense techniques have been developed to tolerate Byzanti...
read it
-
Asynchronous Federated Optimization
Federated learning enables training on a massive number of edge devices....
read it
-
Zeno: Byzantine-suspicious stochastic gradient descent
We propose Zeno, a new robust aggregation rule, for distributed synchron...
read it
-
Phocas: dimensional Byzantine-resilient stochastic gradient descent
We propose a novel robust aggregation rule for distributed synchronous S...
read it
-
Generalized Byzantine-tolerant SGD
We propose three new robust aggregation rules for distributed synchronou...
read it
-
Attack RMSE Leaderboard: An Introduction and Case Study
In this manuscript, we briefly introduce several tricks to climb the lea...
read it
-
Wishart Mechanism for Differentially Private Principal Components Analysis
We propose a new input perturbation mechanism for publishing a covarianc...
read it
-
A Scalable and Extensible Framework for Superposition-Structured Models
In many learning tasks, structural models usually lead to better interpr...
read it