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2008.04489
Cited By
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Federated Learning via Synthetic Data
11 August 2020
Jack Goetz
Ambuj Tewari
FedML
DD
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Papers citing
"Federated Learning via Synthetic Data"
50 / 53 papers shown
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Hailin Zhu
Yu Zhang
Z. Chen
Guibing Guo
192
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0
13 Oct 2025
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Yongzhi Huang
Linshan Jiang
Qipeng Xie
Chang Liu
Wenfeng Du
Lu Wang
Kaishun Wu
FedML
216
0
0
20 Jul 2025
A Survey on Federated Fine-tuning of Large Language Models
Yebo Wu
Chunlin Tian
Jingguang Li
He Sun
Kahou Tam
...
Haicheng Liao
Zhijiang Guo
Li Li
Chengzhong Xu
Chengzhong Xu
FedML
650
5
0
15 Mar 2025
E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Yuhao Zhou
Yuxin Tian
Mingjia Shi
Yuanxi Li
Yanan Sun
Qing Ye
Jiancheng Lv
334
2
0
05 Feb 2025
On Learning Representations for Tabular Data Distillation
Inwon Kang
Parikshit Ram
Yi Zhou
Horst Samulowitz
Oshani Seneviratne
DD
277
2
0
23 Jan 2025
Towards Mitigating Architecture Overfitting on Distilled Datasets
Xuyang Zhong
Chen Liu
DD
409
2
0
08 Jan 2025
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Junying Chen
Zhenyang Cai
Ke Ji
Xiang Wang
Wanlong Liu
Rongsheng Wang
Jianye Hou
Benyou Wang
LRM
248
1
0
25 Dec 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting
Wei Yuan
Guanhua Ye
Xiangyu Zhao
Quoc Viet Hung Nguyen
Yang Cao
Hongzhi Yin
AI4TS
368
8
0
24 Nov 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
Neural Information Processing Systems (NeurIPS), 2024
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Yiu-ming Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedML
MoMe
AI4CE
380
19
0
27 Oct 2024
Label-Augmented Dataset Distillation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Seoungyoon Kang
Youngsun Lim
Hyunjung Shim
DD
329
3
0
24 Sep 2024
Federated Large Language Models: Current Progress and Future Directions
Yuhang Yao
Jianyi Zhang
Junda Wu
Chengkai Huang
Yu Xia
...
Ang Li
L. Yao
Julian McAuley
Yiran Chen
Carlee Joe-Wong
FedML
AIFin
591
27
0
24 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
Ming Li
Pengcheng Xu
Junjie Hu
Zeyu Tang
Guang Yang
FedML
431
69
0
15 Sep 2024
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning
Chia-Yuan Wu
Frank E. Curtis
Daniel P. Robinson
DD
269
0
0
14 Sep 2024
UDD: Dataset Distillation via Mining Underutilized Regions
Chinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2024
Shiguang Wang
Zhongyu Zhang
Jian Cheng
DD
312
0
0
29 Aug 2024
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
Shaobo Wang
Yantai Yang
Qilong Wang
Kaixin Li
Linfeng Zhang
Junchi Yan
DD
514
16
0
22 Aug 2024
One-Shot Collaborative Data Distillation
European Conference on Artificial Intelligence (ECAI), 2024
William Holland
Chandra Thapa
Sarah Ali Siddiqui
Wei Shao
S. Çamtepe
DD
FedML
377
1
0
05 Aug 2024
Federated Learning Optimization: A Comparative Study of Data and Model Exchange Strategies in Dynamic Networks
Alka Luqman
Yeow Wei Liang Brandon
Anupam Chattopadhyay
217
1
0
16 Jun 2024
Dataset Condensation with Latent Quantile Matching
Wei Wei
Tom De Schepper
Kevin Mets
DD
369
7
0
14 Jun 2024
One-Shot Federated Learning with Bayesian Pseudocoresets
Tim d'Hondt
Mykola Pechenizkiy
Robert Peharz
FedML
352
0
0
04 Jun 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
348
12
0
13 May 2024
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data
European Signal Processing Conference (EUSIPCO), 2024
Okko Makkonen
Sampo Niemelä
Camilla Hollanti
Serge Kas Hanna
222
0
0
04 Apr 2024
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
Jianjun Huang
Lixin Ye
Li Kang
FedML
159
3
0
19 Mar 2024
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
Abhishek Singh
Gauri Gupta
Ritvik Kapila
Yichuan Shi
Alex Dang
Sheshank Shankar
Mohammed Ehab
Ramesh Raskar
FedML
279
0
0
25 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
International Conference on Learning Representations (ICLR), 2024
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
333
23
0
10 Feb 2024
Dataset Distillation via the Wasserstein Metric
Haoyang Liu
Yijiang Li
Tiancheng Xing
Ke Chen
Vibhu Dalal
Luwei Li
Jingrui He
Haohan Wang
DD
594
25
0
30 Nov 2023
Sequential Subset Matching for Dataset Distillation
Neural Information Processing Systems (NeurIPS), 2023
Jiawei Du
Qin Shi
Qiufeng Wang
DD
292
44
0
02 Nov 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
Neural Information Processing Systems (NeurIPS), 2023
Zhiqin Yang
Yonggang Zhang
Yuxiang Zheng
Xinmei Tian
Hao Peng
Tongliang Liu
Bo Han
FedML
226
138
0
08 Oct 2023
Dataset Condensation via Generative Model
David Junhao Zhang
Heng Wang
Chuhui Xue
Rui Yan
Wenqing Zhang
Song Bai
Mike Zheng Shou
DD
256
19
0
14 Sep 2023
Improved Distribution Matching for Dataset Condensation
Computer Vision and Pattern Recognition (CVPR), 2023
Ganlong Zhao
Guanbin Li
Yipeng Qin
Yizhou Yu
DD
276
157
0
19 Jul 2023
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
Yue Liu
Yasin Esfandiari
Mikkel N. Schmidt
T. S. Alstrøm
Sebastian U. Stich
FedML
385
6
0
23 Jun 2023
Visual Prompt Based Personalized Federated Learning
Guang-Ming Li
Wansen Wu
Yan Sun
Li Shen
Baoyuan Wu
Dacheng Tao
FedML
VLM
269
19
0
15 Mar 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
IEEE International Conference on Computer Vision (ICCV), 2023
Yuhao Zhou
Mingjia Shi
Yuanxi Li
Qing Ye
Yanan Sun
Jiancheng Lv
249
9
0
27 Feb 2023
Dataset Distillation: A Comprehensive Review
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
442
186
0
17 Jan 2023
A Comprehensive Survey of Dataset Distillation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shiye Lei
Dacheng Tao
DD
656
158
0
13 Jan 2023
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
471
101
0
11 Jan 2023
Accelerating Dataset Distillation via Model Augmentation
Computer Vision and Pattern Recognition (CVPR), 2022
Lei Zhang
Jie M. Zhang
Bowen Lei
Subhabrata Mukherjee
Xiang Pan
Bo Zhao
Caiwen Ding
Yongbin Li
Dongkuan Xu
DD
391
79
0
12 Dec 2022
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation
Computer Vision and Pattern Recognition (CVPR), 2022
Jiawei Du
Yiding Jiang
Vincent Y. F. Tan
Qiufeng Wang
Haizhou Li
DD
324
168
0
20 Nov 2022
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Mahdi Morafah
Saeed Vahidian
Chong Chen
M. Shah
Bill Lin
FedML
219
76
0
30 Sep 2022
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Rui Song
Dai Liu
Da Chen
Andreas Festag
Carsten Trinitis
Martin Schulz
Alois C. Knoll
DD
FedML
357
86
0
24 Aug 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
International Conference on Machine Learning (ICML), 2022
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinfu He
Bo Han
Xiaowen Chu
FedML
342
105
0
06 Jun 2022
Dataset Distillation using Neural Feature Regression
Neural Information Processing Systems (NeurIPS), 2022
Yongchao Zhou
E. Nezhadarya
Jimmy Ba
DD
FedML
488
212
0
01 Jun 2022
Federated Self-supervised Learning for Heterogeneous Clients
Disha Makhija
Nhat Ho
Joydeep Ghosh
FedML
377
32
0
25 May 2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Shengyuan Hu
Jack Goetz
Kshitiz Malik
Hongyuan Zhan
Zhe Liu
Yue Liu
DD
FedML
220
46
0
04 Apr 2022
Dataset Distillation by Matching Training Trajectories
Computer Vision and Pattern Recognition (CVPR), 2022
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedML
DD
526
546
0
22 Mar 2022
FedSyn: Synthetic Data Generation using Federated Learning
Monik R Behera
Sudhir Upadhyay
S. Shetty
S. Priyadarshini
Palka Patel
Ker Farn Lee
FedML
233
20
0
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Acceleration of Federated Learning with Alleviated Forgetting in Local Training
International Conference on Learning Representations (ICLR), 2022
Chencheng Xu
Zhiwei Hong
Shiyu Huang
Tao Jiang
FedML
241
59
0
05 Mar 2022
Architecture Agnostic Federated Learning for Neural Networks
International Conference on Machine Learning (ICML), 2022
Disha Makhija
Xing Han
Nhat Ho
Joydeep Ghosh
FedML
366
61
0
15 Feb 2022
A Unified Approach to Coreset Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Alaa Maalouf
Gilad Eini
Ben Mussay
Dan Feldman
Margarita Osadchy
DD
313
21
0
04 Nov 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Neural Information Processing Systems (NeurIPS), 2021
Mi Luo
Fei Chen
Dapeng Hu
Yifan Zhang
Jian Liang
Jiashi Feng
FedML
367
453
0
09 Jun 2021
Towards Fair Federated Learning with Zero-Shot Data Augmentation
Weituo Hao
Mostafa El-Khamy
Jungwon Lee
Jianyi Zhang
Kevin J. Liang
Changyou Chen
Lawrence Carin
FedML
180
116
0
27 Apr 2021
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