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"

8 / 8 papers shown

Title
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 28 0 0 01 Aug 2023
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chen Yi FedML 24 13 0 19 Oct 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning Hanhan Zhou Tian-Shing Lan Guru Venkataramani Wenbo Ding FedML 24 6 0 27 Jan 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 19 18 0 16 Dec 2021
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach Pengchao Han Shiqiang Wang K. Leung FedML 27 175 0 14 Jan 2020
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 30 443 0 26 Sep 2019
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 32 83 0 24 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 144 1,685 0 14 Apr 2018