Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning

21 April 2020

Papers citing "Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning"

6 / 6 papers shown

Title
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 64 1,356 0 07 Mar 2019
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 87 623 0 07 Dec 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 225 3,463 0 09 Mar 2018
signSGD: Compressed Optimisation for Non-Convex Problems Jeremy Bernstein Yu Wang Kamyar Azizzadenesheli Anima Anandkumar FedML ODL 90 1,043 0 13 Feb 2018
Sparse Communication for Distributed Gradient Descent Alham Fikri Aji Kenneth Heafield 66 741 0 17 Apr 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 394 17,453 0 17 Feb 2016