Federated Continual Learning through distillation in pervasive computing

Federated Continual Learning through distillation in pervasive computing

17 July 2022

Anastasiia Usmanova

François Portet

Papers citing "Federated Continual Learning through distillation in pervasive computing"

10 / 10 papers shown

Title
Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain Anastasiia Usmanova François Portet P. Lalanda Germán Vega FedML 40 3 0 17 Jul 2022
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison Sannara Ek François Portet P. Lalanda Germán Vega FedML 65 111 0 19 Oct 2021
Class-incremental learning: survey and performance evaluation on image classification Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 75 686 0 28 Oct 2020
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 89 1,256 0 30 May 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 121 2,663 0 04 Feb 2019
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 85 1,157 0 25 Jul 2018
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 339 7,498 0 02 Dec 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 282 4,400 0 29 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,437 0 17 Feb 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 329 19,609 0 09 Mar 2015