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CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization

10 March 2022

Papers citing "CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization"

21 / 21 papers shown

Title
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices Kilian Pfeiffer Mohamed Aboelenien Ahmed R. Khalili J. Henkel 80 1 0 12 Nov 2024
Scaling Language Model Size in Cross-Device Federated Learning Jae Hun Ro Theresa Breiner Lara McConnaughey Mingqing Chen A. Suresh Shankar Kumar Rajiv Mathews FedML 61 25 0 31 Mar 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 75 18 0 16 Dec 2021
Partial Variable Training for Efficient On-Device Federated Learning Tien-Ju Yang Dhruv Guliani F. Beaufays Giovanni Motta FedML 49 25 0 11 Oct 2021
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 100 559 0 03 Oct 2020
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design Kartikeya Bhardwaj Wei Chen R. Marculescu GNN 38 7 0 25 Aug 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 87 335 0 22 Feb 2020
Residual Knowledge Distillation Mengya Gao Yujun Shen Quanquan Li Chen Change Loy 86 29 0 21 Feb 2020
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 96 695 0 06 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 105 143 0 02 Nov 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 150 1,166 0 13 Sep 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products Urmish Thakker Jesse G. Beu Dibakar Gope Chu Zhou Igor Fedorov Ganesh S. Dasika Matthew Mattina 79 36 0 07 Jun 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 128 2,676 0 04 Feb 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 104 626 0 07 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 158 1,424 0 03 Dec 2018
Group Normalization Yuxin Wu Kaiming He 249 3,676 0 22 Mar 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 170 3,148 0 15 Dec 2017
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 83 2,838 0 09 Aug 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 64 211 0 07 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,918 0 17 Apr 2017
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 209 2,049 0 09 Feb 2015