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Communication-Efficient Federated Knowledge Graph Embedding with
  Entity-Wise Top-K Sparsification

Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification

19 June 2024
Xiaoxiong Zhang
Zhiwei Zeng
Xin Zhou
Dusit Niyato
Zhiqi Shen
    FedML
ArXivPDFHTML

Papers citing "Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification"

11 / 11 papers shown
Title
Personalized Federated Knowledge Graph Embedding with Client-Wise
  Relation Graph
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph
Xiaoxiong Zhang
Zhiwei Zeng
Xin Zhou
Dusit Niyato
Zhiqi Shen
FedML
80
3
0
17 Jun 2024
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving
  Relation Embedding Aggregation
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
Kai Zhang
Yu Wang
Hongyi Wang
Lifu Huang
Carl Yang
Xun Chen
Lichao Sun
FedML
37
34
0
17 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
106
30,021
0
01 Mar 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient
  Federated Learning
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Robert Hönig
Yiren Zhao
Robert D. Mullins
FedML
123
54
0
31 Oct 2021
FedKD: Communication Efficient Federated Learning via Knowledge
  Distillation
FedKD: Communication Efficient Federated Learning via Knowledge Distillation
Chuhan Wu
Fangzhao Wu
Lingjuan Lyu
Yongfeng Huang
Xing Xie
FedML
46
383
0
30 Aug 2021
Personalized Federated Learning using Hypernetworks
Personalized Federated Learning using Hypernetworks
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
91
328
0
08 Mar 2021
UVeQFed: Universal Vector Quantization for Federated Learning
UVeQFed: Universal Vector Quantization for Federated Learning
Nir Shlezinger
Mingzhe Chen
Yonina C. Eldar
H. Vincent Poor
Shuguang Cui
FedML
MQ
32
225
0
05 Jun 2020
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
41
1,343
0
07 Mar 2019
Deep Gradient Compression: Reducing the Communication Bandwidth for
  Distributed Training
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Chengyue Wu
Song Han
Huizi Mao
Yu Wang
W. Dally
102
1,394
0
05 Dec 2017
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
256
1,646
0
11 Oct 2017
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
267
4,620
0
18 Oct 2016
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