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FLight: A Lightweight Federated Learning Framework in Edge and Fog
  Computing

FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing

5 August 2023
Wu-Yang Zhu
M. Goudarzi
Rajkumar Buyya
    FedML
ArXiv (abs)PDFHTML

Papers citing "FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing"

18 / 18 papers shown
Title
Clustered Scheduling and Communication Pipelining For Efficient Resource
  Management Of Wireless Federated Learning
Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning
Cihat Keçeci
M. Shaqfeh
F. Al-Qahtani
Muhammad Ismail
E. Serpedin
FedML
58
4
0
15 Jun 2022
Scheduling IoT Applications in Edge and Fog Computing Environments: A
  Taxonomy and Future Directions
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
73
72
0
26 Apr 2022
A Distributed Deep Reinforcement Learning Technique for Application
  Placement in Edge and Fog Computing Environments
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
OffRL
92
88
0
24 Oct 2021
Federated Dropout -- A Simple Approach for Enabling Federated Learning
  on Resource Constrained Devices
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Dingzhu Wen
Ki-Jun Jeon
Kaibin Huang
FedML
122
94
0
30 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
162
262
0
09 Sep 2021
Resource Management in Edge and Fog Computing using FogBus2 Framework
Resource Management in Edge and Fog Computing using FogBus2 Framework
M. Goudarzi
Qifan Deng
Rajkumar Buyya
25
12
0
02 Aug 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Di Wu
R. Ullah
P. Harvey
Peter Kilpatrick
I. Spence
Blesson Varghese
118
83
0
09 Jul 2021
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
108
224
0
14 Jan 2021
Privacy-Preserving Federated Learning for UAV-Enabled Networks:
  Learning-Based Joint Scheduling and Resource Management
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management
Helin Yang
Jun Zhao
Zehui Xiong
Kwok-Yan Lam
Sumei Sun
Liang Xiao
58
184
0
28 Nov 2020
Client Selection in Federated Learning: Convergence Analysis and
  Power-of-Choice Selection Strategies
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho
Jianyu Wang
Gauri Joshi
FedML
157
408
0
03 Oct 2020
Heterogeneous Federated Learning
Heterogeneous Federated Learning
Fuxun Yu
Weishan Zhang
Zhuwei Qin
Zirui Xu
Di Wang
Chenchen Liu
Zhi Tian
Xiang Chen
FedML
68
22
0
15 Aug 2020
FedMD: Heterogenous Federated Learning via Model Distillation
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
104
862
0
08 Oct 2019
A Joint Learning and Communications Framework for Federated Learning
  over Wireless Networks
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen
Zhaohui Yang
Walid Saad
Changchuan Yin
H. Vincent Poor
Shuguang Cui
FedML
96
1,192
0
17 Sep 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for
  Data Privacy and Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
130
1,006
0
23 Jul 2019
Towards Federated Learning at Scale: System Design
Towards Federated Learning at Scale: System Design
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
...
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
FedML
128
2,675
0
04 Feb 2019
Peer-to-peer Federated Learning on Graphs
Peer-to-peer Federated Learning on Graphs
Anusha Lalitha
O. Kilinc
T. Javidi
F. Koushanfar
OODFedML
117
186
0
31 Jan 2019
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
260
1,719
0
14 Apr 2018
Privacy Preserving Machine Learning: Threats and Solutions
Privacy Preserving Machine Learning: Threats and Solutions
Mohammad Al-Rubaie
Jerome Chang
67
337
0
27 Mar 2018
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