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Towards Communication-efficient Vertical Federated Learning Training via
  Cache-enabled Local Updates

Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates

29 July 2022
Fangcheng Fu
Xupeng Miao
Jiawei Jiang
Huanran Xue
Bin Cui
    FedML
ArXivPDFHTML

Papers citing "Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates"

18 / 18 papers shown
Title
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning
Linian Wang
Leye Wang
MU
39
1
0
24 Feb 2025
Vertical Federated Learning for Effectiveness, Security, Applicability:
  A Survey
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye
Wei Shen
Bo Du
E. Snezhko
Vassili Kovalev
PongChi Yuen
FedML
72
3
0
25 May 2024
A Survey on Contribution Evaluation in Vertical Federated Learning
A Survey on Contribution Evaluation in Vertical Federated Learning
Yue Cui
Chung-ju Huang
Yuzhu Zhang
Leye Wang
Lixin Fan
Xiaofang Zhou
Qiang Yang
FedML
36
5
0
03 May 2024
TablePuppet: A Generic Framework for Relational Federated Learning
TablePuppet: A Generic Framework for Relational Federated Learning
Lijie Xu
Chulin Xie
Yiran Guo
Gustavo Alonso
Bo-wen Li
Guoliang Li
Wei Wang
Wentao Wu
Ce Zhang
FedML
33
0
0
23 Mar 2024
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
Tianyuan Zou
Zixuan Gu
Yuanqin He
Hideaki Takahashi
Yang Janet Liu
Ya-Qin Zhang
FedML
35
5
0
15 Oct 2023
A Survey for Federated Learning Evaluations: Goals and Measures
A Survey for Federated Learning Evaluations: Goals and Measures
Di Chai
Leye Wang
Liu Yang
Junxue Zhang
Kai Chen
Qian Yang
ELM
FedML
17
21
0
23 Aug 2023
VertiBench: Advancing Feature Distribution Diversity in Vertical
  Federated Learning Benchmarks
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
Zhaomin Wu
Junyi Hou
Bin He
FedML
51
5
0
05 Jul 2023
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning
Youhe Jiang
Fangcheng Fu
Xupeng Miao
Xiaonan Nie
Bin Cui
24
11
0
17 May 2023
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via
  Dynamic Device Placement
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement
Xiaonan Nie
Xupeng Miao
Zilong Wang
Zichao Yang
Jilong Xue
Lingxiao Ma
Gang-Ming Cao
Bin Cui
MoE
32
44
0
08 Apr 2023
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in
  Tencent
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent
Xiaonan Nie
Yi Liu
Fangcheng Fu
J. Xue
Dian Jiao
Xupeng Miao
Yangyu Tao
Bin Cui
MoE
24
16
0
06 Mar 2023
Vertical Federated Knowledge Transfer via Representation Distillation
  for Healthcare Collaboration Networks
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
Chung-ju Huang
Leye Wang
Xiao Han
FedML
17
24
0
11 Feb 2023
Vertical Federated Learning: A Structured Literature Review
Vertical Federated Learning: A Structured Literature Review
Afsana Khan
M. T. Thij
A. Wilbik
FedML
50
10
0
01 Dec 2022
Vertical Federated Learning: Concepts, Advances and Challenges
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
57
161
0
23 Nov 2022
Flexible Vertical Federated Learning with Heterogeneous Parties
Flexible Vertical Federated Learning with Heterogeneous Parties
Timothy Castiglia
Shiqiang Wang
S. Patterson
FedML
22
34
0
26 Aug 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient
  Communication with ADMM
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
FedML
27
16
0
20 Jul 2022
AsySQN: Faster Vertical Federated Learning Algorithms with Better
  Computation Resource Utilization
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
Qingsong Zhang
Bin Gu
Cheng Deng
Songxiang Gu
Liefeng Bo
J. Pei
Heng-Chiao Huang
FedML
95
28
0
26 Sep 2021
Explore User Neighborhood for Real-time E-commerce Recommendation
Explore User Neighborhood for Real-time E-commerce Recommendation
Xu Xie
Fei Sun
Xiaoyong Yang
Zhao Yang
Jinyang Gao
Wenwu Ou
Bin Cui
19
19
0
28 Feb 2021
Label Leakage and Protection in Two-party Split Learning
Label Leakage and Protection in Two-party Split Learning
Oscar Li
Jiankai Sun
Xin Yang
Weihao Gao
Hongyi Zhang
Junyuan Xie
Virginia Smith
Chong-Jun Wang
FedML
124
139
0
17 Feb 2021
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