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Client-Edge-Cloud Hierarchical Federated Learning

Client-Edge-Cloud Hierarchical Federated Learning

16 May 2019
Lumin Liu
Jun Zhang
S. H. Song
Khaled B. Letaief
    FedML
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Papers citing "Client-Edge-Cloud Hierarchical Federated Learning"

24 / 74 papers shown
Title
Communication-Efficient Hierarchical Federated Learning for IoT
  Heterogeneous Systems with Imbalanced Data
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
A. Abdellatif
N. Mhaisen
Amr M. Mohamed
A. Erbad
M. Guizani
Z. Dawy
W. Nasreddine
FedML
58
92
0
14 Jul 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A
  Hierarchical Nested Personalized Federated Learning Approach
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
Su Wang
Seyyedali Hosseinalipour
M. Gorlatova
Christopher G. Brinton
M. Chiang
38
36
0
29 Jun 2021
FLRA: A Reference Architecture for Federated Learning Systems
FLRA: A Reference Architecture for Federated Learning Systems
Sin Kit Lo
Qinghua Lu
Hye-Young Paik
Liming Zhu
FedML
AI4CE
47
24
0
22 Jun 2021
Optimality and Stability in Federated Learning: A Game-theoretic
  Approach
Optimality and Stability in Federated Learning: A Game-theoretic Approach
Kate Donahue
Jon M. Kleinberg
FedML
13
45
0
17 Jun 2021
Slashing Communication Traffic in Federated Learning by Transmitting
  Clustered Model Updates
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Laizhong Cui
Xiaoxin Su
Yipeng Zhou
Yi Pan
FedML
30
35
0
10 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
28
86
0
04 May 2021
Convergence Analysis and System Design for Federated Learning over
  Wireless Networks
Convergence Analysis and System Design for Federated Learning over Wireless Networks
Shuo Wan
Jiaxun Lu
Pingyi Fan
Yunfeng Shao
Chenghui Peng
Khaled B. Letaief
39
54
0
30 Apr 2021
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
51
243
0
29 Apr 2021
Semi-Decentralized Federated Edge Learning for Fast Convergence on
  Non-IID Data
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
FedML
26
39
0
26 Apr 2021
A Graph Federated Architecture with Privacy Preserving Learning
A Graph Federated Architecture with Privacy Preserving Learning
Elsa Rizk
Ali H. Sayed
FedML
36
21
0
26 Apr 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model
  Aggregations
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations
F. Lin
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
FedML
32
109
0
18 Mar 2021
Bandwidth Allocation for Multiple Federated Learning Services in
  Wireless Edge Networks
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
Jie Xu
Heqiang Wang
Lixing Chen
FedML
56
43
0
10 Jan 2021
Federated Learning under Importance Sampling
Federated Learning under Importance Sampling
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
16
52
0
14 Dec 2020
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning
  on Non-IID Data
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
N. Mhaisen
Alaa Awad
Amr M. Mohamed
A. Erbad
M. Guizani
FedML
50
12
0
10 Dec 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile
  Edge Networks
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
Minh N. H. Nguyen
N. H. Tran
Y. Tun
Zhu Han
Choong Seon Hong
FedML
19
49
0
25 Nov 2020
FLaaS: Federated Learning as a Service
FLaaS: Federated Learning as a Service
N. Kourtellis
Kleomenis Katevas
Diego Perino
FedML
16
60
0
18 Nov 2020
Demystifying Why Local Aggregation Helps: Convergence Analysis of
  Hierarchical SGD
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
Jiayi Wang
Shiqiang Wang
Rong-Rong Chen
Mingyue Ji
FedML
33
51
0
24 Oct 2020
Federated Learning with Nesterov Accelerated Gradient
Federated Learning with Nesterov Accelerated Gradient
Zhengjie Yang
Wei Bao
Dong Yuan
Nguyen H. Tran
Albert Y. Zomaya
FedML
19
29
0
18 Sep 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in
  Mobile Edge Computing Systems
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems
Wentai Wu
Ligang He
Weiwei Lin
Rui Mao
17
78
0
28 Jul 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient
  Hierarchical Federated Edge Learning
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
Siqi Luo
Xu Chen
Qiong Wu
Zhi Zhou
Shuai Yu
FedML
25
339
0
26 Feb 2020
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G
  Networks
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks
Changyang She
Rui Dong
Zhouyou Gu
Zhanwei Hou
Yonghui Li
Wibowo Hardjawana
Chenyang Yang
Lingyang Song
B. Vucetic
AI4TS
14
104
0
22 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
17
326
0
22 Feb 2020
Dynamic Federated Learning
Dynamic Federated Learning
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
14
25
0
20 Feb 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
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