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FedLP: Layer-wise Pruning Mechanism for Communication-Computation
  Efficient Federated Learning

FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning

11 March 2023
Zheqi Zhu
Yuchen Shi
Jia Luo
Fei-Yue Wang
Chenghui Peng
Pingyi Fan
Khaled B. Letaief
    FedML
ArXivPDFHTML

Papers citing "FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning"

7 / 7 papers shown
Title
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
13
0
0
07 May 2025
Communication-Efficient Model Aggregation with Layer Divergence Feedback
  in Federated Learning
Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning
Liwei Wang
Jun Li
Wen Chen
Qing-Bin Wu
Ming Ding
28
1
0
12 Apr 2024
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles
  Bandwidth Scarcity and System Heterogeneity
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
Md Ferdous Pervej
Richeng Jin
H. Dai
10
9
0
03 Aug 2023
FedNC: A Secure and Efficient Federated Learning Method with Network
  Coding
FedNC: A Secure and Efficient Federated Learning Method with Network Coding
Yuchen Shi
Zheqi Zhu
Pingyi Fan
Khaled B. Letaief
Chenghui Peng
FedML
8
0
0
05 May 2023
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance
  Sampling
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling
Zheqi Zhu
Yuchen Shi
Pingyi Fan
Chenghui Peng
Khaled B. Letaief
FedML
11
8
0
05 Oct 2022
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
66
88
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
1