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LotteryFL: Personalized and Communication-Efficient Federated Learning
  with Lottery Ticket Hypothesis on Non-IID Datasets

LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

7 August 2020
Ang Li
Jingwei Sun
Binghui Wang
Lin Duan
Sicheng Li
Yiran Chen
H. Li
    FedML
ArXivPDFHTML

Papers citing "LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets"

8 / 58 papers shown
Title
FedCor: Correlation-Based Active Client Selection Strategy for
  Heterogeneous Federated Learning
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
Minxue Tang
Xuefei Ning
Yitu Wang
Jingwei Sun
Yu Wang
H. Li
Yiran Chen
FedML
27
80
0
24 Mar 2021
Constrained Differentially Private Federated Learning for Low-bandwidth
  Devices
Constrained Differentially Private Federated Learning for Low-bandwidth Devices
Raouf Kerkouche
G. Ács
C. Castelluccia
P. Genevès
21
7
0
27 Feb 2021
More Industry-friendly: Federated Learning with High Efficient Design
More Industry-friendly: Federated Learning with High Efficient Design
Dingwei Li
Qinglong Chang
Lixue Pang
Yanfang Zhang
Xudong Sun
Jikun Ding
Liang Zhang
FedML
16
1
0
16 Dec 2020
Provable Defense against Privacy Leakage in Federated Learning from
  Representation Perspective
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective
Jingwei Sun
Ang Li
Binghui Wang
Huanrui Yang
Hai Li
Yiran Chen
FedML
19
163
0
08 Dec 2020
HeteroFL: Computation and Communication Efficient Federated Learning for
  Heterogeneous Clients
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
26
543
0
03 Oct 2020
Deep Partial Updating: Towards Communication Efficient Updating for
  On-device Inference
Deep Partial Updating: Towards Communication Efficient Updating for On-device Inference
Zhongnan Qu
Cong Liu
Lothar Thiele
3DH
23
3
0
06 Jul 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
Model Pruning Enables Efficient Federated Learning on Edge Devices
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
32
444
0
26 Sep 2019
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