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1910.03581
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FedMD: Heterogenous Federated Learning via Model Distillation
8 October 2019
Daliang Li
Junpu Wang
FedML
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Papers citing
"FedMD: Heterogenous Federated Learning via Model Distillation"
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Title
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
32
87
0
17 Nov 2021
Parameterized Knowledge Transfer for Personalized Federated Learning
Jie Zhang
Song Guo
Xiaosong Ma
Yining Qi
Wencao Xu
Feijie Wu
33
176
0
04 Nov 2021
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection
Ali Anaissi
Basem Suleiman
FedML
27
1
0
04 Nov 2021
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning
Maoguo Gong
Yuan Gao
Yue Wu
•. A. K. Qin
FedML
OOD
6
1
0
29 Oct 2021
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion
Sijie Cheng
Jingwen Wu
Yanghua Xiao
Yang Liu
Yang Liu
FedML
10
67
0
21 Oct 2021
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
Sannara Ek
François Portet
P. Lalanda
Germán Vega
FedML
31
105
0
19 Oct 2021
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
Chan Yun Hin
Edith C.H. Ngai
FedML
19
24
0
19 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Jun Luo
Shandong Wu
OOD
MQ
68
75
0
15 Oct 2021
FedMe: Federated Learning via Model Exchange
Koji Matsuda
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
FedML
45
19
0
15 Oct 2021
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
Hui-Po Wang
Sebastian U. Stich
Yang He
Mario Fritz
FedML
AI4CE
36
46
0
11 Oct 2021
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning
Haizhou Shi
Youcai Zhang
Zijin Shen
Siliang Tang
Yaqian Li
Yandong Guo
Yueting Zhuang
24
6
0
29 Sep 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer
Yae Jee Cho
Jianyu Wang
Tarun Chiruvolu
Gauri Joshi
FedML
35
31
0
16 Sep 2021
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting
Wei-wei Zhu
Jiebo Luo
Andrew D. White
FedML
30
32
0
15 Sep 2021
Source Inference Attacks in Federated Learning
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Xuyun Zhang
27
79
0
13 Sep 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models
Lan Zhang
Dapeng Wu
Xiaoyong Yuan
FedML
38
47
0
08 Sep 2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation
Chuhan Wu
Fangzhao Wu
Lingjuan Lyu
Yongfeng Huang
Xing Xie
FedML
27
373
0
30 Aug 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
Guodong Long
Tao Shen
Yue Tan
Leah Gerrard
Allison Clarke
Jing Jiang
FedML
26
45
0
24 Aug 2021
Federated Learning for Open Banking
Guodong Long
Yue Tan
Jing Jiang
Chengqi Zhang
AIFin
FedML
46
275
0
24 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization
Guodong Long
Ming Xie
Tao Shen
Dinesh Manocha
Xianzhi Wang
Jing Jiang
Chengqi Zhang
FedML
32
242
0
19 Aug 2021
Aggregation Delayed Federated Learning
Ye Xue
Diego Klabjan
Yuan Luo
FedML
OOD
28
5
0
17 Aug 2021
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
24
41
0
14 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning
Xubo Yue
Maher Nouiehed
Raed Al Kontar
FedML
27
37
0
05 Aug 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
Kaan Ozkara
Navjot Singh
Deepesh Data
Suhas Diggavi
FedML
MQ
24
56
0
29 Jul 2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes
Xin-Chun Li
Le Gan
De-Chuan Zhan
Yunfeng Shao
Bingshuai Li
Shaoming Song
OOD
27
9
0
26 Jul 2021
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
412
0
14 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
Personalized Federated Learning with Contextualized Generalization
Xueyang Tang
Song Guo
Jingcai Guo
FedML
23
38
0
24 Jun 2021
Zero-Shot Federated Learning with New Classes for Audio Classification
Gautham Krishna Gudur
S. K. Perepu
FedML
13
10
0
18 Jun 2021
On Large-Cohort Training for Federated Learning
Zachary B. Charles
Zachary Garrett
Zhouyuan Huo
Sergei Shmulyian
Virginia Smith
FedML
21
113
0
15 Jun 2021
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu
Jinjin Xu
Shiqing Liu
Yaochu Jin
OOD
FedML
34
768
0
12 Jun 2021
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
Gihun Lee
Minchan Jeong
Yongjin Shin
Sangmin Bae
Se-Young Yun
FedML
25
115
0
06 Jun 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Zhuangdi Zhu
Junyuan Hong
Jiayu Zhou
FedML
27
630
0
20 May 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
156
460
0
01 May 2021
Cluster-driven Graph Federated Learning over Multiple Domains
Debora Caldarola
Massimiliano Mancini
Fabio Galasso
Marco Ciccone
Emanuele Rodolà
Barbara Caputo
FedML
11
82
0
29 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Yingda Xia
Dong Yang
Wenqi Li
Andriy Myronenko
Daguang Xu
...
Elvira Stellato
G. Carrafiello
A. Ierardi
Alan Yuille
H. Roth
OOD
FedML
44
46
0
20 Apr 2021
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
Yuan Gao
Jiawei Li
Maoguo Gong
Yu Xie
•. A. K. Qin
14
0
0
14 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
38
401
0
05 Apr 2021
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
Akihito Taya
Takayuki Nishio
M. Morikura
Koji Yamamoto
FedML
23
20
0
01 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
35
412
0
14 Mar 2021
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
841
0
01 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
189
268
0
26 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
37
76
0
25 Feb 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization
Canh T. Dinh
Thanh Tung Vu
N. H. Tran
Minh N. Dao
Hongyu Zhang
FedML
65
40
0
14 Feb 2021
Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data
Kai-Fung Chu
Lintao Zhang
FedML
16
8
0
11 Feb 2021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
Felix Sattler
Tim Korjakow
R. Rischke
Wojciech Samek
FedML
14
115
0
04 Feb 2021
FedH2L: Federated Learning with Model and Statistical Heterogeneity
Yiying Li
Wei Zhou
Huaimin Wang
Haibo Mi
Timothy M. Hospedales
FedML
52
29
0
27 Jan 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
77
110
0
04 Jan 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
Binbin Guo
Yuan Mei
Danyang Xiao
Weigang Wu
Ye Yin
Hongli Chang
MoE
47
22
0
31 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer
Chengxi Li
Gang Li
P. Varshney
FedML
26
106
0
24 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
355
0
07 Dec 2020
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