Management of Resource at the Network Edge for Federated Learning

7 July 2021

Papers citing "Management of Resource at the Network Edge for Federated Learning"

46 / 46 papers shown

Title
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices Liang Li Dian Shi Ronghui Hou Hui Li Miao Pan Zhu Han FedML 62 151 0 22 Dec 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 134 407 0 03 Oct 2020
Federated Edge Learning : Design Issues and Challenges Afaf Taik Soumaya Cherkaoui FedML 68 65 0 31 Aug 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 170 163 0 22 Jul 2020
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi Vaneet Aggarwal David J. Love H. Dai 62 91 0 18 Jul 2020
Asymmetrical Vertical Federated Learning Yang Liu Xiong Zhang Libin Wang FedML 27 46 0 16 Apr 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 221 330 0 19 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 259 1,770 0 18 Mar 2020
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework Qiong Wu Kaiwen He Xu Chen 64 285 0 25 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 152 568 0 19 Feb 2020
Multi-Participant Multi-Class Vertical Federated Learning Siwei Feng Han Yu FedML 64 89 0 30 Jan 2020
Overcoming Noisy and Irrelevant Data in Federated Learning Tiffany Tuor Shiqiang Wang Bongjun Ko Changchang Liu K. Leung FedML 32 23 0 22 Jan 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 234 6,252 0 10 Dec 2019
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 64 691 0 06 Nov 2019
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism L. U. Khan Shashi Raj Pandey Nguyen H. Tran Walid Saad Zhu Han Minh N. H. Nguyen Choong Seon Hong FedML 55 385 0 06 Nov 2019
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data Yujing Chen Yue Ning Martin Slawski Huzefa Rangwala FedML 53 56 0 05 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 232 1,165 0 24 Oct 2019
Reliable Federated Learning for Mobile Networks Jiawen Kang Zehui Xiong Dusit Niyato Y. Zou Yang Zhang Mohsen Guizani FedML 50 464 0 14 Oct 2019
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models K. Sim P. Zadrazil F. Beaufays 55 58 0 14 Sep 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 98 1,001 0 23 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 74 997 0 19 Jul 2019
Energy-Efficient Radio Resource Allocation for Federated Edge Learning Qunsong Zeng Yuqing Du K. Leung Kaibin Huang 59 228 0 13 Jul 2019
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications Moming Duan Duo Liu Xianzhang Chen Yujuan Tan Jinting Ren Lei Qiao Liang Liang FedML 56 196 0 02 Jul 2019
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 175 801 0 25 May 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 88 1,440 0 24 May 2019
Asynchronous Federated Optimization Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 68 567 0 10 Mar 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 2,664 0 04 Feb 2019
Scheduling in distributed systems: A cloud computing perspective L. Bittencourt A. Goldman E. Madeira N. Fonseca R. Sakellariou GNN 46 82 0 10 Jan 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
Federated Learning for Mobile Keyboard Prediction Andrew Straiton Hard Kanishka Rao Zhifeng Lin Swaroop Indra Ramaswamy Youjie Li S. Augenstein Alex Schwing M. Annavaram A. Avestimehr FedML 131 1,536 0 08 Nov 2018
Resource Management in Fog/Edge Computing: A Survey Cheol-Ho Hong Blesson Varghese 117 396 0 30 Sep 2018
The Internet of Things, Fog and Cloud Continuum: Integration and Challenges L. Bittencourt Roger Immich R. Sakellariou N. Fonseca E. Madeira M. Curado Leandro A. Villas L. Silva Craig A. Lee Omer F. Rana 45 286 0 26 Sep 2018
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning Xiaofei Wang Yiwen Han Chenyang Wang Qiyang Zhao Xu Chen Min Chen 46 804 0 19 Sep 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 152 2,568 0 02 Jun 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 120 1,403 0 23 Apr 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 242 1,706 0 14 Apr 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 81 395 0 22 Feb 2018
A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing Klervie Toczé Simin Nadjm-Tehrani 44 105 0 17 Jan 2018
Edge-as-a-Service: Towards Distributed Cloud Architectures Blesson Varghese Nan Wang Jianyu Li Dimitrios S. Nikolopoulos 42 21 0 27 Oct 2017
ENORM: A Framework For Edge NOde Resource Management Nan Wang Blesson Varghese M. Matthaiou Dimitrios S. Nikolopoulos 43 198 0 12 Sep 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 293 4,643 0 18 Oct 2016
Revisiting Distributed Synchronous SGD Jianmin Chen Xinghao Pan R. Monga Samy Bengio Rafal Jozefowicz 87 798 0 04 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 397 17,468 0 17 Feb 2016
Inter-Layer Per-Mobile Optimization of Cloud Mobile Computing: A Message-Passing Approach Shahrouz Khalili Osvaldo Simeone 26 42 0 26 Aug 2015