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  4. Cited By
Client Selection for Federated Learning with Heterogeneous Resources in
  Mobile Edge

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

23 April 2018
Takayuki Nishio
Ryo Yonetani
    FedML
ArXivPDFHTML

Papers citing "Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge"

50 / 411 papers shown
Title
FEDZIP: A Compression Framework for Communication-Efficient Federated
  Learning
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
Amirhossein Malekijoo
Mohammad Javad Fadaeieslam
Hanieh Malekijou
Morteza Homayounfar
F. Alizadeh-Shabdiz
Reza Rawassizadeh
FedML
34
54
0
02 Feb 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms
  and Convergence Analysis
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing
Osvaldo Simeone
Suzhi Bi
45
94
0
29 Jan 2021
FedH2L: Federated Learning with Model and Statistical Heterogeneity
FedH2L: Federated Learning with Model and Statistical Heterogeneity
Yiying Li
Wei Zhou
Huaimin Wang
Haibo Mi
Timothy M. Hospedales
FedML
60
29
0
27 Jan 2021
Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in
  Federated Learning
Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning
Naifu Zhang
M. Tao
Jia Wang
FedML
14
4
0
21 Jan 2021
FedNS: Improving Federated Learning for collaborative image
  classification on mobile clients
FedNS: Improving Federated Learning for collaborative image classification on mobile clients
Yaoxin Zhuo
Baoxin Li
FedML
19
14
0
20 Jan 2021
Privacy-Preserving Learning of Human Activity Predictors in Smart
  Environments
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments
Sharare Zehtabian
Siavash Khodadadeh
Ladislau Bölöni
D. Turgut
19
28
0
17 Jan 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 over Noisy Channels: Convergence Analysis and Design
  Examples
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
Xizixiang Wei
Cong Shen
FedML
36
15
0
06 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey
Fusion of Federated Learning and Industrial Internet of Things: A Survey
S. Priya
Praveen Kumar
Viet Quoc Pham
K. Dev
Reddy Maddikunta
Thippa Reddy
Thien Huynh-The
AI4CE
33
192
0
04 Jan 2021
Timely Communication in Federated Learning
Timely Communication in Federated Learning
Baturalp Buyukates
S. Ulukus
FedML
40
39
0
31 Dec 2020
Test Score Algorithms for Budgeted Stochastic Utility Maximization
Test Score Algorithms for Budgeted Stochastic Utility Maximization
Dabeen Lee
Milan Vojnović
Seyoung Yun
15
2
0
30 Dec 2020
Straggler-Resilient Federated Learning: Leveraging the Interplay Between
  Statistical Accuracy and System Heterogeneity
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity
Amirhossein Reisizadeh
Isidoros Tziotis
Hamed Hassani
Aryan Mokhtari
Ramtin Pedarsani
FedML
172
99
0
28 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer
Decentralized Federated Learning via Mutual Knowledge Transfer
Chengxi Li
Gang Li
P. Varshney
FedML
26
106
0
24 Dec 2020
Energy Efficient Federated Learning over Heterogeneous Mobile Devices
  via Joint Design of Weight Quantization and Wireless Transmission
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission
Rui Chen
Liang Li
Kaiping Xue
Chi Zhang
Miao Pan
Yuguang Fang
MQ
27
37
0
21 Dec 2020
Fairness and Accuracy in Federated Learning
Fairness and Accuracy in Federated Learning
Wei Huang
Tianrui Li
Dexian Wang
Shengdong Du
Junbo Zhang
FedML
39
52
0
18 Dec 2020
Cost-Effective Federated Learning Design
Cost-Effective Federated Learning Design
Bing Luo
Xiang Li
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
22
177
0
15 Dec 2020
Federated Learning under Importance Sampling
Federated Learning under Importance Sampling
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
18
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
Mohsen Guizani
FedML
50
12
0
10 Dec 2020
Accurate and Fast Federated Learning via IID and Communication-Aware
  Grouping
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping
Jin-Woo Lee
Jaehoon Oh
Yooju Shin
Jae-Gil Lee
Seyoul Yoon
FedML
80
16
0
09 Dec 2020
SoK: Training Machine Learning Models over Multiple Sources with Privacy
  Preservation
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation
Lushan Song
Guopeng Lin
Jiaxuan Wang
Haoqi Wu
Wenqiang Ruan
Weili Han
34
9
0
06 Dec 2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed
  Bandits
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits
Taehyeon Kim
Sangmin Bae
Jin-woo Lee
Se-Young Yun
FedML
29
15
0
06 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
33
32
0
06 Dec 2020
Communication-Efficient Federated Distillation
Communication-Efficient Federated Distillation
Felix Sattler
Arturo Marbán
R. Rischke
Wojciech Samek
FedML
DD
39
35
0
01 Dec 2020
Edge-assisted Democratized Learning Towards Federated Analytics
Edge-assisted Democratized Learning Towards Federated Analytics
Shashi Raj Pandey
Minh N. H. Nguyen
Tri Nguyen Dang
N. H. Tran
K. Thar
Zhu Han
Choong Seon Hong
FedML
20
22
0
01 Dec 2020
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
11
180
0
28 Nov 2020
Wireless Distributed Edge Learning: How Many Edge Devices Do We Need?
Wireless Distributed Edge Learning: How Many Edge Devices Do We Need?
Jaeyoung Song
Marios Kountouris
16
16
0
22 Nov 2020
Stochastic Client Selection for Federated Learning with Volatile Clients
Stochastic Client Selection for Federated Learning with Volatile Clients
Tiansheng Huang
Weiwei Lin
Li Shen
Keqin Li
Albert Y. Zomaya
FedML
14
98
0
17 Nov 2020
Budgeted Online Selection of Candidate IoT Clients to Participate in
  Federated Learning
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
Ihab Mohammed
Shadha Tabatabai
Ala I. Al-Fuqaha
Faissal El Bouanani
Junaid Qadir
Basheer Qolomany
Mohsen Guizani
19
59
0
16 Nov 2020
Hybrid Federated and Centralized Learning
Hybrid Federated and Centralized Learning
Ahmet M. Elbir
Sinem Coleri
Kumar Vijay Mishra
FedML
12
15
0
13 Nov 2020
Adaptive Federated Dropout: Improving Communication Efficiency and
  Generalization for Federated Learning
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Nader Bouacida
Jiahui Hou
H. Zang
Xin Liu
FedML
25
75
0
08 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and
  Models
Resource-Constrained Federated Learning with Heterogeneous Labels and Models
Gautham Krishna Gudur
B. Balaji
S. K. Perepu
FedML
8
19
0
06 Nov 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning
  with Fairness Guarantee
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Tiansheng Huang
Weiwei Lin
Wentai Wu
Ligang He
Keqin Li
Albert Y. Zomaya
FedML
36
222
0
03 Nov 2020
Optimal Importance Sampling for Federated Learning
Optimal Importance Sampling for Federated Learning
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
40
46
0
26 Oct 2020
Adaptive Federated Learning and Digital Twin for Industrial Internet of
  Things
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things
Wen Sun
S. Lei
Lu Wang
Zhiqiang Liu
Yan Zhang
FedML
AI4CE
43
198
0
25 Oct 2020
Can Federated Learning Save The Planet?
Can Federated Learning Save The Planet?
Xinchi Qiu
Titouan Parcollet
Daniel J. Beutel
Taner Topal
Akhil Mathur
Nicholas D. Lane
23
80
0
13 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning
  System with Asynchronous Tiers
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai
Yujing Chen
Ali Anwar
Liang Zhao
Yue Cheng
Huzefa Rangwala
FedML
26
122
0
12 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for
  Heterogeneous Clients
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
46
546
0
03 Oct 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
47
401
0
03 Oct 2020
Optimal Task Assignment to Heterogeneous Federated Learning Devices
Optimal Task Assignment to Heterogeneous Federated Learning Devices
L. Pilla
FedML
9
26
0
01 Oct 2020
Dynamic Fusion based Federated Learning for COVID-19 Detection
Dynamic Fusion based Federated Learning for COVID-19 Detection
Weishan Zhang
Tao Zhou
Qinghua Lu
Xiao Wang
Chunsheng Zhu
Haoyun Sun
Zhipeng Wang
Sin Kit Lo
Fei-Yue Wang
FedML
MedIm
25
208
0
22 Sep 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular
  network: An Auction Approach
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
T. Le
N. H. Tran
Y. Tun
Minh N. H. Nguyen
Shashi Raj Pandey
Zhu Han
Choong Seon Hong
FedML
23
152
0
22 Sep 2020
Estimation of Individual Device Contributions for Incentivizing
  Federated Learning
Estimation of Individual Device Contributions for Incentivizing Federated Learning
Takayuki Nishio
R. Shinkuma
N. Mandayam
FedML
22
31
0
20 Sep 2020
Blockchain-based Federated Learning for Device Failure Detection in
  Industrial IoT
Blockchain-based Federated Learning for Device Failure Detection in Industrial IoT
Weishan Zhang
Qinghua Lu
Qiuyu Yu
Zhaotong Li
Yue Liu
Sin Kit Lo
Shiping Chen
Xiwei Xu
Liming Zhu
26
6
0
06 Sep 2020
Federated Edge Learning : Design Issues and Challenges
Federated Edge Learning : Design Issues and Challenges
Afaf Taik
Soumaya Cherkaoui
FedML
21
62
0
31 Aug 2020
Wireless for Machine Learning
Wireless for Machine Learning
Henrik Hellström
J. M. B. D. Silva
Mohammad Mohammadi Amiri
Mingzhe Chen
Viktoria Fodor
H. Vincent Poor
Carlo Fischione
19
18
0
31 Aug 2020
Convergence of Federated Learning over a Noisy Downlink
Convergence of Federated Learning over a Noisy Downlink
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
FedML
13
74
0
25 Aug 2020
Adaptive Distillation for Decentralized Learning from Heterogeneous
  Clients
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
Jiaxin Ma
Ryo Yonetani
Z. Iqbal
FedML
40
12
0
18 Aug 2020
Distillation-Based Semi-Supervised Federated Learning for
  Communication-Efficient Collaborative Training with Non-IID Private Data
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
Sohei Itahara
Takayuki Nishio
Yusuke Koda
M. Morikura
Koji Yamamoto
FedML
25
251
0
14 Aug 2020
FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and
  Accurate Federated Learning
FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning
Kenta Nagura
S. Bian
Takashi Sato
FedML
20
0
0
11 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
34
161
0
06 Aug 2020
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