Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced
Collaboration

Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration

3 December 2019

Zirui Xu

Jinjun Xiong

Papers citing "Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration"

15 / 15 papers shown

Title
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 67 1 0 01 Aug 2023
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data Yujing Chen Yue Ning Martin Slawski Huzefa Rangwala FedML 51 56 0 05 Nov 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 66 314 0 03 Oct 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 112 4,509 0 21 Aug 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 2,663 0 04 Feb 2019
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements S. Caldas Jakub Konecný H. B. McMahan Ameet Talwalkar 59 450 0 18 Dec 2018
EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge Z. Q. Lin A. Chung A. Wong 43 35 0 18 Oct 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 149 2,567 0 02 Jun 2018
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN S. Nikouei Yu Chen Sejun Song Ronghua Xu Baek-Young Choi Timothy R. Faughnan 54 85 0 24 Apr 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 1,704 0 14 Apr 2018
Differentially Private Federated Learning: A Client Level Perspective Robin C. Geyer T. Klein Moin Nabi FedML 116 1,294 0 20 Dec 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 150 1,807 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 4,642 0 18 Oct 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014

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