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WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling

1 May 2024
Huai-an Su
Jiaxiang Geng
Liang Li
Xiaoqi Qin
Yanzhao Hou
Xin Fu
Miao Pan
Miao Pan
ArXivPDFHTML

Papers citing "WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling"

3 / 3 papers shown
Title
Federated Dropout -- A Simple Approach for Enabling Federated Learning
  on Resource Constrained Devices
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Dingzhu Wen
Ki-Jun Jeon
Kaibin Huang
FedML
68
90
0
30 Sep 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
176
267
0
26 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
87
943
0
03 Feb 2021
1