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2310.08670
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Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
12 October 2023
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
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Papers citing
"Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction"
4 / 4 papers shown
Title
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
33
38
0
21 Feb 2023
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
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
178
1,027
0
06 Mar 2020
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
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