Federated Learning with Heterogeneous Architectures using Graph HyperNetworks

20 January 2022

Sanja Fidler

Papers citing "Federated Learning with Heterogeneous Architectures using Graph HyperNetworks"

43 / 43 papers shown

Title
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 120 0 0 13 Mar 2025
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 62 75 0 13 Dec 2023
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 66 80 0 25 Oct 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 108 328 0 08 Mar 2021
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 60 290 0 15 Dec 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 201 128 0 17 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 94 553 0 03 Oct 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning Tao R. Lin Lingjing Kong Sebastian U. Stich Martin Jaggi FedML 81 1,031 0 12 Jun 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 213 328 0 19 Mar 2020
Federated Learning of a Mixture of Global and Local Models Filip Hanzely Peter Richtárik FedML 47 380 0 10 Feb 2020
Molecule Property Prediction and Classification with Graph Hypernetworks Eliya Nachmani Lior Wolf GNN 36 15 0 01 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 153 6,177 0 10 Dec 2019
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning XINYAN DAI Xiao Yan Kaiwen Zhou Han Yang K. K. Ng James Cheng Yu Fan FedML 52 47 0 12 Nov 2019
Privacy-preserving Federated Brain Tumour Segmentation Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox ... Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso Andrew Feng FedML 71 475 0 02 Oct 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 121 1,128 0 13 Sep 2019
Deep Meta Functionals for Shape Representation G. Littwin Lior Wolf 3DPC 45 81 0 17 Aug 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 149 1,274 0 04 Jun 2019
Bayesian Nonparametric Federated Learning of Neural Networks Mikhail Yurochkin Mayank Agarwal S. Ghosh Kristjan Greenewald T. Hoang Y. Khazaeni FedML 122 724 0 28 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 185 4,303 0 06 Mar 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 52 108 0 22 Feb 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 93 5,105 0 14 Dec 2018
Graph HyperNetworks for Neural Architecture Search Chris Zhang Mengye Ren R. Urtasun GNN 47 276 0 12 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 153 1,625 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 204 7,554 0 01 Oct 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 139 2,547 0 02 Jun 2018
cpSGD: Communication-efficient and differentially-private distributed SGD Naman Agarwal A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 114 490 0 27 May 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 156 1,056 0 24 May 2018
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 117 762 0 17 Aug 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 435 15,066 0 07 Jun 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 132 2,495 0 05 May 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 274 4,620 0 18 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 115 1,603 0 27 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 691 36,599 0 25 Aug 2016
Resnet in Resnet: Generalizing Residual Architectures S. Targ Diogo Almeida Kevin Lyman SSeg 72 822 0 25 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 251 17,328 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.7K 192,638 0 10 Dec 2015
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 299 3,271 0 17 Nov 2015
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 102 733 0 11 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.4K 76,547 0 18 May 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 294 19,523 0 09 Mar 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 246 18,534 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,474 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.2K 99,991 0 04 Sep 2014