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XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated
  Learning

XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning

9 June 2020
Myungjae Shin
Chihoon Hwang
Joongheon Kim
Jihong Park
M. Bennis
Seong-Lyun Kim
    FedML
ArXivPDFHTML

Papers citing "XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning"

22 / 22 papers shown
Title
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato
Lingyu Qiu
Mohammad Tanveer
S. Cuomo
F. Giampaolo
F. Piccialli
FedML
55
0
0
05 May 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
85
0
0
09 Mar 2025
Subgraph Federated Learning for Local Generalization
Sungwon Kim
Yoonho Lee
Yunhak Oh
Namkyeong Lee
Sukwon Yun
Junseok Lee
Sein Kim
Carl Yang
Chanyoung Park
FedML
OOD
79
1
0
06 Mar 2025
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
Jun Bai
Yiliao Song
Di Wu
Atul Sajjanhar
Yong Xiang
Wei Zhou
Xiaohui Tao
Yan Li
Y. Li
FedML
53
0
0
28 Oct 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and
  Artificially-Labeled Noise
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise
Kyle Rui Sang
Tahseen Rabbani
Furong Huang
FedML
29
0
0
20 Sep 2024
Stable Diffusion-based Data Augmentation for Federated Learning with
  Non-IID Data
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
27
5
0
13 May 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning
  Leveraging Weight Decomposition
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition
Yuxuan Yan
Qianqian Yang
Shunpu Tang
Zhiguo Shi
27
13
0
29 Apr 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
34
0
0
18 Mar 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang
Yonggang Zhang
S. Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
13
13
0
10 Feb 2024
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume
  Segmentation
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
Y. Huang
Wanqing Xie
Mingzhen Li
Mingmei Cheng
Jinzhou Wu
Weixiao Wang
Jane You
Xiaofeng Liu
FedML
24
3
0
23 Oct 2023
Feature Matching Data Synthesis for Non-IID Federated Learning
Feature Matching Data Synthesis for Non-IID Federated Learning
Zijian Li
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
26
19
0
09 Aug 2023
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
26
22
0
20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
29
244
0
20 Jul 2023
FedPNN: One-shot Federated Classification via Evolving Clustering Method
  and Probabilistic Neural Network hybrid
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid
Polaki Durga Prasad
Yelleti Vivek
V. Ravi
FedML
15
0
0
09 Apr 2023
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
Renjie Pi
Weizhong Zhang
Yueqi Xie
Jiahui Gao
Xiaoyu Wang
Sunghun Kim
Qifeng Chen
DD
19
26
0
20 Nov 2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Zijian Li
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jinchao Zhang
FedML
15
39
0
11 Jun 2022
An Adaptive Federated Relevance Framework for Spatial Temporal Graph
  Learning
An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning
Tiehua Zhang
Yuze Liu
Zhishu Shen
Ruiqian Xu
Xin Chen
Xiaowei Huang
Xi Zheng
FedML
AI4TS
22
9
0
07 Jun 2022
Local Learning Matters: Rethinking Data Heterogeneity in Federated
  Learning
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
Matías Mendieta
Taojiannan Yang
Pu Wang
Minwoo Lee
Zhengming Ding
C. L. P. Chen
FedML
17
157
0
28 Nov 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
Tehrim Yoon
Sumin Shin
S. Hwang
Eunho Yang
FedML
14
163
0
01 Jul 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
26
76
0
13 Jun 2021
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
13
159
0
06 Aug 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,680
0
14 Apr 2018
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