Concept
Hadoop
Publications associées (33)
Communication trade-offs for Local-SGD with large step size
Aymeric Daphnis Kévin Dieuleveut
Synchronous mini-batch SGD is state-of-the-art for large-scale distributed machine learning. However, in practice, its convergence is bottlenecked by slow communication rounds between worker nodes. A natural solution to reduce communication is to use the " ...
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2019Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop
Many medical image analysis tasks require complex learning strategies to reach a quality of image-based decision support that is sufficient in clinical practice. The analysis of medical texture in tomographic images, for example of lung tissue, is no excep ...
2016Reliable and Real-Time Distributed Abstractions
The celebrated distributed computing approach for building systems and services using multiple machines continues to expand to new domains. Computation devices nowadays have additional sensing and communication capabilities, while becoming, at the same tim ...
EPFL2016SigCO: Mining Significant Correlations via a Distributed Real-time Computation Engine
Karl Aberer, Jean Paul Calbimonte Perez, Tian Guo, Hao Zhuang
The dramatic rise of time-series data produced in a variety of contexts, such as stock markets, mobile sensing, sensor networks, data centre monitoring, etc., has fuelled the development of large-scale distributed real-time computation systems (e.g., Apach ...
2015Fast Correlation Discovery for Large-Scale Streaming Time-Series Data
Karl Aberer, Saket Sathe, Tian Guo
The dramatic rise of streaming time-series data produced in a vari- ety of contexts, such as stock markets, mobile sensing, sensor net- works, data centre monitoring, etc., has fuelled the development of large-scale distributed real-time computation system ...
2014