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Efficient distributed algorithms for Convolutional Neural Networks This is a reading group talk on the published paper in CVPR 2016 entitled, "Fast ... student in the or department of colombia and today i will be presenting some Anima Anandkumar, UC Irvine Computational Challenges in Machine Learning ... Speaker: P. Sadayappan Venue: SPCL_Bcast, recorded on 7 October, 2021 Abstract:

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Fast Algorithms for Convolutional Neural Networks by Andrew Lavin and Scott Gray
Distributed Algorithms 2020: lecture 3a · PN model
WAOA.4.1 Distributed Algorithms for Matching in Hypergraphs
Improving the Privacy and Accuracy of ADMM Based Distributed Algorithms
Efficient Distributed Deep Learning Using MXNet
Distributed Algorithms for Constrained Optimization over Directed Networks
What Are Distributed Algorithms In Robotics? - Test
3.7 The Quest for Speed | Efficient Convolution Algorithms | Speeding Up CNNs for Deep Learning
[SPCL_Bcast] Optimization of Data Movement for Convolutional Neural Networks
Distributed Algorithms 2020: lecture 9a · Round elimination
2.5 - Data Types & Efficient Convolution Algorithms | Deep Learning
Distributed Algorithms 2020: lecture 10a · Sinkless orientation

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Last Updated: June 9, 2026

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Efficient distributed algorithms for Convolutional Neural Networks
Dan Alistarh "Efficient Algorithms for Machine Learning" Part 1
Brief Announcement: Efficient Distributed Algorithms for the K-Nearest Neighbors Problem
Fast Algorithms for Convolutional Neural Networks by Andrew Lavin and Scott Gray
Distributed Algorithms 2020: lecture 3a · PN model
WAOA.4.1 Distributed Algorithms for Matching in Hypergraphs
Improving the Privacy and Accuracy of ADMM Based Distributed Algorithms
Efficient Distributed Deep Learning Using MXNet