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2011.04050
Cited By
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
8 November 2020
Nader Bouacida
Jiahui Hou
H. Zang
Xin Liu
FedML
Re-assign community
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Papers citing
"Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning"
13 / 13 papers shown
Title
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning
Chengui Xiao
Songbai Liu
FedML
72
0
0
29 Apr 2025
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
57
0
0
03 Oct 2024
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
33
0
0
24 Jun 2024
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout
Zhiying Feng
Xu Chen
Qiong Wu
Wenhua Wu
Xiaoxi Zhang
Qian Huang
FedML
33
2
0
31 Aug 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout
Jingjing Xue
Min Liu
Sheng Sun
Yuwei Wang
Hui Jiang
Xue Jiang
18
7
0
14 Jul 2023
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity
Kiwan Maeng
Haiyu Lu
Luca Melis
John Nguyen
Michael G. Rabbat
Carole-Jean Wu
FedML
29
31
0
30 May 2022
Fast Server Learning Rate Tuning for Coded Federated Dropout
Giacomo Verardo
Daniela F. Barreira
Marco Chiesa
Dejan Kostić
Gerald Q. Maguire Jr
FedML
27
1
0
26 Jan 2022
FedDropoutAvg: Generalizable federated learning for histopathology image classification
G. N. Gunesli
M. Bilal
S. Raza
Nasir M. Rajpoot
FedML
OOD
17
20
0
25 Nov 2021
Towards Fairness-Aware Federated Learning
Yuxin Shi
Han Yu
Cyril Leung
FedML
21
79
0
02 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Robert Hönig
Yiren Zhao
Robert D. Mullins
FedML
107
53
0
31 Oct 2021
Enabling On-Device Training of Speech Recognition Models with Federated Dropout
Dhruv Guliani
Lillian Zhou
Changwan Ryu
Tien-Ju Yang
Harry Zhang
Yong Xiao
F. Beaufays
Giovanni Motta
FedML
24
16
0
07 Oct 2021
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training
Chen Dun
Cameron R. Wolfe
C. Jermaine
Anastasios Kyrillidis
16
21
0
02 Jul 2021
Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression
Zhefeng Qiao
Xianghao Yu
Jun Zhang
Khaled B. Letaief
FedML
33
19
0
26 Apr 2021
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