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2009.07999
Cited By
Distilled One-Shot Federated Learning
17 September 2020
Yanlin Zhou
George Pu
Xiyao Ma
Xiaolin Li
D. Wu
FedML
DD
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Papers citing
"Distilled One-Shot Federated Learning"
38 / 38 papers shown
Title
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato
Lingyu Qiu
Mohammad Tanveer
S. Cuomo
F. Giampaolo
F. Piccialli
FedML
60
0
0
05 May 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
Jacopo Talpini
Marco Savi
Giovanni Neglia
FedML
Presented at
ResearchTrend Connect | FedML
on
07 May 2025
76
0
0
19 Mar 2025
Capture Global Feature Statistics for One-Shot Federated Learning
Zenghao Guan
Yucan Zhou
Xiaoyan Gu
FedML
63
0
0
10 Mar 2025
Secure Federated Data Distillation
Marco Arazzi
Mert Cihangiroglu
S. Nicolazzo
Antonino Nocera
FedML
DD
101
0
0
19 Feb 2025
On Learning Representations for Tabular Data Distillation
Inwon Kang
Parikshit Ram
Yi Zhou
Horst Samulowitz
O. Seneviratne
DD
66
0
0
23 Jan 2025
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
55
0
0
28 Oct 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
34
5
0
13 May 2024
Federated Multi-Agent Mapping for Planetary Exploration
Tiberiu-Ioan Szatmari
Abhishek Cauligi
FedML
AI4CE
39
0
0
02 Apr 2024
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories
Jiyuan Shen
Wenzhuo Yang
Kwok-Yan Lam
DD
29
1
0
16 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
46
59
0
29 Sep 2023
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
43
23
0
20 Jul 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
54
14
0
10 May 2023
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid
Polaki Durga Prasad
Yelleti Vivek
V. Ravi
FedML
23
0
0
09 Apr 2023
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning
Xiucheng Wang
Nan Cheng
Longfei Ma
Ruijin Sun
Rong Chai
Ning Lu
FedML
35
11
0
10 Mar 2023
Dataset Distillation: A Comprehensive Review
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
53
121
0
17 Jan 2023
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
31
87
0
13 Jan 2023
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
45
73
0
11 Jan 2023
Towards Robust Dataset Learning
Yihan Wu
Xinda Li
Florian Kerschbaum
Heng Huang
Hongyang R. Zhang
DD
OOD
43
10
0
19 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Justin Cui
Ruochen Wang
Si Si
Cho-Jui Hsieh
DD
22
129
0
19 Nov 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
...
Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
20
27
0
16 Oct 2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Xinyu Zhou
Jun Zhao
Huimei Han
C. Guet
FedML
45
27
0
29 Sep 2022
Meta Knowledge Condensation for Federated Learning
Ping Liu
Xin Yu
Qiufeng Wang
DD
FedML
30
28
0
29 Sep 2022
CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach
Jun-Ying Liu
Yifu Tang
Haimeng Zhao
X. Wang
Fangyu Li
Jingyi Zhang
16
5
0
01 Sep 2022
Practical Vertical Federated Learning with Unsupervised Representation Learning
Zhaomin Wu
Yue Liu
Bingsheng He
FedML
30
37
0
13 Aug 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
Yuanhao Xiong
Ruochen Wang
Minhao Cheng
Felix X. Yu
Cho-Jui Hsieh
FedML
DD
47
82
0
20 Jul 2022
Dataset Distillation by Matching Training Trajectories
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedML
DD
58
363
0
22 Mar 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions
Brian Hildebrand
Mohamed Baza
Tara Salman
Fathi H. Amsaad
Abdul Razaqu
Abdullah Alourani
30
45
0
21 Mar 2022
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data
Isha Garg
M. Nagaraj
Kaushik Roy
FedML
21
1
0
21 Jan 2022
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer
Yae Jee Cho
Jianyu Wang
Tarun Chiruvolu
Gauri Joshi
FedML
35
30
0
16 Sep 2021
Order Optimal Bounds for One-Shot Federated Learning over non-Convex Loss Functions
Arsalan Sharifnassab
Saber Salehkaleybar
S. J. Golestani
FedML
6
0
0
19 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
20
67
0
27 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
FedML
22
21
0
02 Jul 2021
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
48
211
0
14 Jan 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
Shuyan Hu
Xiaojing Chen
Wei Ni
E. Hossain
Xin Wang
AI4CE
45
111
0
02 Dec 2020
Practical One-Shot Federated Learning for Cross-Silo Setting
Qinbin Li
Bingsheng He
D. Song
FedML
16
113
0
02 Oct 2020
Dataset Condensation with Gradient Matching
Bo-Lu Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
36
472
0
10 Jun 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
174
760
0
28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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