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Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
v1v2v3v4 (latest)

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge

28 July 2020
Chaoyang He
M. Annavaram
A. Avestimehr
    FedML
ArXiv (abs)PDFHTML

Papers citing "Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge"

15 / 15 papers shown
Federated Learning for Healthcare Domain - Pipeline, Applications and
  Challenges
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi
Ankit Pal
Malaikannan Sankarasubbu
OODAI4CEFedML
422
155
0
15 Nov 2022
A Survey on Heterogeneous Federated Learning
A Survey on Heterogeneous Federated Learning
Dashan Gao
Xin Yao
Qian Yang
FedML
336
81
0
10 Oct 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security
  for Distributed Learning
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed LearningProceedings of the IEEE (Proc. IEEE), 2022
Chuan Ma
Jun Li
Kang Wei
Bo Liu
Ming Ding
Long Yuan
Zhu Han
H. Vincent Poor
434
77
0
18 Feb 2022
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates
  into Gradients from Proxy Data
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy DataIEEE Access (IEEE Access), 2022
Isha Garg
M. Nagaraj
Kaushik Roy
FedML
227
1
0
21 Jan 2022
Federated Learning for Internet of Things: Applications, Challenges, and
  Opportunities
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
Tuo Zhang
Lei Gao
Chaoyang He
Mi Zhang
Bhaskar Krishnamachari
Salman Avestimehr
FedML
434
238
0
15 Nov 2021
Parameterized Knowledge Transfer for Personalized Federated Learning
Parameterized Knowledge Transfer for Personalized Federated LearningNeural Information Processing Systems (NeurIPS), 2021
Jie Zhang
Song Guo
Xiaosong Ma
Yining Qi
Wencao Xu
Feijie Wu
324
238
0
04 Nov 2021
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data
  Modeling
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data ModelingKnowledge Discovery and Data Mining (KDD), 2021
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
FedML
284
169
0
09 Jun 2021
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A SurveyKnowledge and Information Systems (KAIS), 2021
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedMLOOD
411
333
0
29 Apr 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home
  Health Monitoring
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health MonitoringIEEE Transactions on Mobile Computing (IEEE TMC), 2020
Qiong Wu
Xu Chen
Zhi Zhou
Junshan Zhang
FedML
417
370
0
14 Dec 2020
TornadoAggregate: Accurate and Scalable Federated Learning via the
  Ring-Based Architecture
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
Jin-Woo Lee
Jaehoon Oh
Sungsu Lim
Se-Young Yun
Jae-Gil Lee
FedML
415
40
0
06 Dec 2020
Edge Bias in Federated Learning and its Solution by Buffered Knowledge
  Distillation
Edge Bias in Federated Learning and its Solution by Buffered Knowledge Distillation
Sang-ho Lee
Kiyoon Yoo
Nojun Kwak
FedML
433
2
0
20 Oct 2020
Specialized federated learning using a mixture of experts
Specialized federated learning using a mixture of experts
Edvin Listo Zec
Olof Mogren
John Martinsson
L. R. Sütfeld
D. Gillblad
FedML
317
35
0
05 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
778
683
0
27 Jul 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning
Ensemble Distillation for Robust Model Fusion in Federated LearningNeural Information Processing Systems (NeurIPS), 2020
Tao Lin
Lingjing Kong
Sebastian U. Stich
Martin Jaggi
FedML
706
1,404
0
12 Jun 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure
  Federated Learning
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated LearningIEEE Journal on Selected Areas in Information Theory (JSAIT), 2020
Jinhyun So
Başak Güler
A. Avestimehr
FedML
423
362
0
11 Feb 2020
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