Over-the-Air Federated Multi-Task Learning via Model Sparsification and
Turbo Compressed Sensing

Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing

8 May 2022

Papers citing "Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing"

19 / 19 papers shown

Title
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach Hang Liu Xiaojun Yuan Y. Zhang 56 127 0 20 Nov 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 87 996 0 16 Jun 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 240 6,252 0 10 Dec 2019
Active Federated Learning Jack Goetz Kshitiz Malik D. Bui Seungwhan Moon Honglei Liu Anuj Kumar FedML 45 137 0 27 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 121 4,514 0 21 Aug 2019
Federated Learning over Wireless Fading Channels M. Amiri Deniz Gunduz 104 510 0 23 Jul 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 67 643 0 30 Dec 2018
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication Felix Sattler Simon Wiedemann K. Müller Wojciech Samek MQ 55 214 0 22 May 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 128 1,407 0 05 Dec 2017
Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni Jialei Wang Ji Liu Tong Zhang 80 525 0 26 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 280 8,878 0 25 Aug 2017
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 73 2,835 0 09 Aug 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 600 2,228 0 25 Jul 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 150 1,808 0 30 May 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 295 4,643 0 18 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 256 526 0 27 Jun 2012
A Convex Formulation for Learning Task Relationships in Multi-Task Learning Yu Zhang Dit-Yan Yeung 106 462 0 15 Mar 2012
Hybrid Deterministic-Stochastic Methods for Data Fitting M. Friedlander Mark Schmidt 196 387 0 13 Apr 2011

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