Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

23 April 2018

Papers citing "Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge"

50 / 411 papers shown

Title
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI Lei Yang Yanyan Lu Jiannong Cao Jiaming Huang Mingjin Zhang 25 20 0 04 Aug 2020
Communication-Efficient Federated Learning via Optimal Client Sampling Mónica Ribero H. Vikalo FedML 20 93 0 30 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Jed Mills Jia Hu Geyong Min FedML 31 194 0 17 Jul 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 28 361 0 15 Jul 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning Wenqi Shi Sheng Zhou Z. Niu Miao Jiang Lu Geng 28 292 0 14 Jul 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning Wenchao Xia Tony Q.S. Quek Kun Guo Wanli Wen Howard H. Yang Hongbo Zhu FedML 55 218 0 05 Jul 2020
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning Anis Elgabli Jihong Park Chaouki Ben Issaid M. Bennis 28 54 0 03 Jul 2020
Federated Learning With Quantized Global Model Updates M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 24 131 0 18 Jun 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction Georgios Damaskinos R. Guerraoui Anne-Marie Kermarrec Vlad Nitu Rhicheek Patra Francois Taiani 18 54 0 12 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 24 22 0 12 Jun 2020
Industrial Federated Learning -- Requirements and System Design Thomas Hiessl Daniel Schall J. Kemnitz Stefan Schulte FedML AI4CE 14 24 0 14 May 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 28 15 0 24 Apr 2020
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective Jie Xu Heqiang Wang 22 348 0 09 Apr 2020
Evaluating the Communication Efficiency in Federated Learning Algorithms Muhammad Asad Ahmed Moustafa Takayuki Ito M. Aslam FedML 6 51 0 06 Apr 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness Jinke Ren Yinghui He Dingzhu Wen Guanding Yu Kaibin Huang Dongning Guo 44 194 0 01 Apr 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 44 29 0 26 Mar 2020
HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing Deyin Liu Xu Chen Zhi Zhou Qing Ling 40 46 0 22 Mar 2020
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks Sihua Wang Mingzhe Chen Changchuan Yin Walid Saad Choong Seon Hong Shuguang Cui H. Vincent Poor 41 67 0 19 Mar 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach Yi Liu James J. Q. Yu Jiawen Kang Dusit Niyato Shuyu Zhang AI4TS 28 442 0 19 Mar 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 30 9 0 18 Mar 2020
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices Rei Ito Mineto Tsukada Hiroki Matsutani FedML 24 7 0 27 Feb 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning Siqi Luo Xu Chen Qiong Wu Zhi Zhou Shuai Yu FedML 33 339 0 26 Feb 2020
Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems Koya Sato Yasuyuki Satoh D. Sugimura 21 1 0 25 Feb 2020
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC Rongfei Zeng Shixun Zhang Jiaqi Wang Xiaowen Chu FedML 18 180 0 22 Feb 2020
Robustness analytics to data heterogeneity in edge computing Jia Qian Lars Kai Hansen Xenofon Fafoutis Prayag Tiwari Hari Mohan Pandey FedML 24 5 0 12 Feb 2020
Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases Huawei Huang Kangying Lin Song Guo Pan Zhou Zibin Zheng 14 7 0 03 Feb 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 95 170 0 28 Jan 2020
TiFL: A Tier-based Federated Learning System Zheng Chai Ahsan Ali Syed Zawad Stacey Truex Ali Anwar Nathalie Baracaldo Yi Zhou Heiko Ludwig Feng Yan Yue Cheng FedML 21 275 0 25 Jan 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 18 353 0 16 Jan 2020
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration Zirui Xu Zhao Yang Jinjun Xiong Xiang Chen FedML 24 58 0 03 Dec 2019
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning Anis Elgabli Jihong Park Sabbir Ahmed M. Bennis FedML 31 20 0 09 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 30 681 0 06 Nov 2019
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data Yujing Chen Yue Ning Martin Slawski Huzefa Rangwala FedML 26 56 0 05 Nov 2019
Device Scheduling with Fast Convergence for Wireless Federated Learning Misha Sra C. Schmandt Z. Niu FedML 27 190 0 03 Nov 2019
Robust Federated Learning with Noisy Communication F. Ang Li Chen Senior Member Ieee Nan Zhao Senior Member Ieee Yunfei Chen Weidong Wang Feng Yu FedML 21 117 0 01 Nov 2019
Bandwidth Slicing to Boost Federated Learning in Edge Computing Jun Li Xiaoman Shen Lei Chen Jiajia Chen 14 3 0 24 Oct 2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 24 67 0 23 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 45 836 0 08 Oct 2019
Accelerating Federated Learning via Momentum Gradient Descent Wei Liu Li Chen Yunfei Chen Wenyi Zhang FedML AI4CE 28 287 0 08 Oct 2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead A. Masullo Ligang He Toby Perrett Rui Mao Carsten Maple Majid Mirmehdi 22 301 0 03 Oct 2019
Active Federated Learning Jack Goetz Kshitiz Malik D. Bui Seungwhan Moon Honglei Liu Anuj Kumar FedML 13 134 0 27 Sep 2019
Gradient Descent with Compressed Iterates Ahmed Khaled Peter Richtárik 21 22 0 10 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 72 4,421 0 21 Aug 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 38 378 0 31 Jul 2019
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 21 30 0 30 Jul 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 37 970 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 17 977 0 19 Jul 2019
Energy-Efficient Radio Resource Allocation for Federated Edge Learning Qunsong Zeng Yuqing Du K. Leung Kaibin Huang 11 226 0 13 Jul 2019
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices Yang Zhao Jun Zhao Linshan Jiang Rui Tan Dusit Niyato Zengxiang Li Lingjuan Lyu Yingbo Liu 19 104 0 26 Jun 2019