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2104.11375
Cited By
Decentralized Federated Averaging
23 April 2021
Tao Sun
Dongsheng Li
Bao Wang
FedML
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Papers citing
"Decentralized Federated Averaging"
32 / 82 papers shown
Title
Federated Learning with Neural Graphical Models
Urszula Chajewska
H. Shrivastava
FedML
15
1
0
20 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey
Mahdi Alkaeed
Adnan Qayyum
Junaid Qadir
24
16
0
19 Sep 2023
Distributed Variational Inference for Online Supervised Learning
P. Paritosh
Nikolay A. Atanasov
Sonia Martinez
24
1
0
05 Sep 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective
Yu-bao Yan
Chun-Mei Feng
Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye
Mong Goh
Ping Li
Rick Siow
Lei Zhu
F. I. C. L. Philip Chen
FedML
19
8
0
20 Aug 2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning
Qinglun Li
Li Shen
Guang-Ming Li
Quanjun Yin
Dacheng Tao
FedML
26
7
0
16 Aug 2023
The effect of network topologies on fully decentralized learning: a preliminary investigation
Luigi Palmieri
Lorenzo Valerio
C. Boldrini
A. Passarella
11
8
0
29 Jul 2023
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior
Amir Jaberzadeh
A. Shrestha
F. Khan
Mohammed Afaan Shaikh
Bhargav Dave
Jason Geng
FedML
19
3
0
19 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
24
4
0
05 Jul 2023
Stochastic Unrolled Federated Learning
Samar Hadou
Navid Naderializadeh
Alejandro Ribeiro
FedML
22
5
0
24 May 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training
Yi Shi
Yingqi Liu
Yan Sun
Zihao Lin
Li Shen
Xueqian Wang
Dacheng Tao
FedML
31
10
0
24 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
Yi Shi
Kang Wei
Li Shen
Yingqi Liu
Xueqian Wang
Bo Yuan
Dacheng Tao
FedML
28
2
0
01 May 2023
Make Landscape Flatter in Differentially Private Federated Learning
Yi Shi
Yingqi Liu
Kang Wei
Li Shen
Xueqian Wang
Dacheng Tao
FedML
17
54
0
20 Mar 2023
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks
Rohit Parasnis
Seyyedali Hosseinalipour
Yun-Wei Chu
M. Chiang
Christopher G. Brinton
FedML
11
16
0
15 Mar 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
Yilin Yang
Kamil Adamczewski
Danica J. Sutherland
Xiaoxiao Li
Mijung Park
17
14
0
03 Mar 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
30
13
0
16 Feb 2023
Improving the Model Consistency of Decentralized Federated Learning
Yi Shi
Li Shen
Kang Wei
Yan Sun
Bo Yuan
Xueqian Wang
Dacheng Tao
FedML
23
51
0
08 Feb 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
18
221
0
15 Nov 2022
A Modified UDP for Federated Learning Packet Transmissions
B. Mahembe
Clement N. Nyirenda
13
1
0
11 Aug 2022
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Ali Raza
Shujun Li
K. Tran
L. Koehl
Kim Duc Tran
AAML
23
3
0
18 Jul 2022
Efficient and Privacy Preserving Group Signature for Federated Learning
Sneha Kanchan
Jae Won Jang
J. Yoon
Bong Jun Choi
14
9
0
12 Jul 2022
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks
Ignjat Pejic
Rui Wang
K. Liang
BDL
FedML
14
2
0
01 Jul 2022
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution
Akash Amalan
Rui Wang
Yan Qiao
E. Panaousis
K. Liang
FedML
OOD
10
2
0
24 Jun 2022
FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis
M. Pennisi
Federica Proietto Salanitri
Giovanni Bellitto
Bruno Casella
Marco Aldinucci
S. Palazzo
C. Spampinato
OOD
14
9
0
20 Jun 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
Rong Dai
Li Shen
Fengxiang He
Xinmei Tian
Dacheng Tao
FedML
11
110
0
01 Jun 2022
Can Foundation Models Help Us Achieve Perfect Secrecy?
Simran Arora
Christopher Ré
FedML
11
6
0
27 May 2022
On the (In)security of Peer-to-Peer Decentralized Machine Learning
Dario Pasquini
Mathilde Raynal
Carmela Troncoso
OOD
FedML
35
19
0
17 May 2022
Efficient and Reliable Overlay Networks for Decentralized Federated Learning
Yifan Hua
Kevin Miller
Andrea L. Bertozzi
Chao Qian
Bao Wang
OOD
FedML
26
20
0
12 Dec 2021
Clustered Federated Learning via Generalized Total Variation Minimization
Yasmin SarcheshmehPour
Yu Tian
Linli Zhang
A. Jung
FedML
11
8
0
26 May 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing
Osvaldo Simeone
Suzhi Bi
27
92
0
29 Jan 2021
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang
Zhixiong Yang
W. Bajwa
9
94
0
21 Aug 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,194
0
16 Aug 2016
A Fast Distributed Proximal-Gradient Method
Annie I. Chen
Asuman Ozdaglar
62
146
0
08 Oct 2012
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