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Convergence Time Optimization for Federated Learning over Wireless
  Networks

Convergence Time Optimization for Federated Learning over Wireless Networks

22 January 2020
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
ArXivPDFHTML

Papers citing "Convergence Time Optimization for Federated Learning over Wireless Networks"

37 / 37 papers shown
Title
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
30
7
0
07 Dec 2023
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular
  Federated Learning
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
Luca Ballotta
Nicolò Dal Fabbro
Giovanni Perin
Luca Schenato
Michele Rossi
Giuseppe Piro
39
1
0
30 Nov 2023
Adaptive Model Pruning and Personalization for Federated Learning over
  Wireless Networks
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
Xiaonan Liu
T. Ratnarajah
M. Sellathurai
Yonina C. Eldar
29
4
0
04 Sep 2023
Federated Learning in UAV-Enhanced Networks: Joint Coverage and
  Convergence Time Optimization
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization
Mariam Yahya
S. Maghsudi
S. Stańczak
14
3
0
31 Aug 2023
Joint Age-based Client Selection and Resource Allocation for
  Communication-Efficient Federated Learning over NOMA Networks
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks
Bibo Wu
Fang Fang
Xianbin Wang
34
19
0
18 Apr 2023
Gradient Sparsification for Efficient Wireless Federated Learning with
  Differential Privacy
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Feng Shu
Haitao Zhao
Wen Chen
Hongbo Zhu
FedML
25
4
0
09 Apr 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous
  Edge Devices
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
Peichun Li
Guoliang Cheng
Xumin Huang
Jiawen Kang
Rong Yu
Yuan Wu
Miao Pan
FedML
45
21
0
08 Jan 2023
Graph Federated Learning for CIoT Devices in Smart Home Applications
Graph Federated Learning for CIoT Devices in Smart Home Applications
Arash Rasti-Meymandi
S. M. Sheikholeslami
J. Abouei
Konstantinos N. Plataniotis
FedML
19
18
0
29 Dec 2022
Enhancing Federated Learning with spectrum allocation optimization and
  device selection
Enhancing Federated Learning with spectrum allocation optimization and device selection
Tinghao Zhang
Kwok-Yan Lam
Jun Zhao
Feng-Qiang Li
Huimei Han
N. Jamil
21
11
0
27 Dec 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Xizixiang Wei
Cong Shen
Jing Yang
H. Vincent Poor
49
14
0
18 Oct 2022
Time Minimization in Hierarchical Federated Learning
Time Minimization in Hierarchical Federated Learning
Chang-rui Liu
Terence Jie Chua
Junfeng Zhao
41
13
0
07 Oct 2022
Joint Optimization of Energy Consumption and Completion Time in
  Federated Learning
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Xinyu Zhou
Jun Zhao
Huimei Han
C. Guet
FedML
43
27
0
29 Sep 2022
Trustworthy Federated Learning via Blockchain
Trustworthy Federated Learning via Blockchain
Zhanpeng Yang
Yuanming Shi
Yong Zhou
Zixin Wang
Kai Yang
32
68
0
13 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary
  Survey
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
51
59
0
02 Aug 2022
Balancing Accuracy and Integrity for Reconfigurable Intelligent
  Surface-aided Over-the-Air Federated Learning
Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning
Jingheng Zheng
Hui Tian
Wanli Ni
Wei Ni
Ping Zhang
24
34
0
17 Jul 2022
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
28
398
0
01 Jun 2022
Asynchronous Semi-Decentralized Federated Edge Learning for
  Heterogeneous Clients
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jun Zhang
FedML
22
9
0
09 Dec 2021
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning
Nikita Zeulin
O. Galinina
N. Himayat
Sergey D. Andreev
R. Heath
25
5
0
26 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
34
416
0
24 Nov 2021
Federated Learning over Wireless IoT Networks with Optimized
  Communication and Resources
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Student Member Ieee Hao Chen
Shaocheng Huang
Deyou Zhang
Ming Xiao
Fellow Ieee Mikael Skoglund
L. F. I. H. Vincent Poor
18
94
0
22 Oct 2021
Fast Federated Edge Learning with Overlapped Communication and
  Computation and Channel-Aware Fair Client Scheduling
Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling
M. E. Ozfatura
Junlin Zhao
Deniz Gündüz
19
15
0
14 Sep 2021
Cost-Effective Federated Learning in Mobile Edge Networks
Cost-Effective Federated Learning in Mobile Edge Networks
Bing Luo
Xiang Li
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
49
72
0
12 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
31
145
0
26 Aug 2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless
  Networks
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks
Chenyuan Feng
H. Yang
Deshun Hu
Zhiwei Zhao
Tony Q. S. Quek
Geyong Min
28
74
0
20 Aug 2021
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
Low-Latency Federated Learning over Wireless Channels with Differential
  Privacy
Low-Latency Federated Learning over Wireless Channels with Differential Privacy
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Cailian Chen
Shi Jin
Zhu Han
H. Vincent Poor
FedML
24
73
0
20 Jun 2021
Decentralized Inference with Graph Neural Networks in Wireless
  Communication Systems
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Mengyuan Lee
Guanding Yu
H. Dai
GNN
37
39
0
19 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future
  Challenges
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
26
401
0
05 Apr 2021
Over-the-Air Statistical Estimation
Over-the-Air Statistical Estimation
Chuan-Zheng Lee
L. P. Barnes
Ayfer Özgür
16
12
0
06 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
Design and Analysis of Uplink and Downlink Communications for Federated
  Learning
Design and Analysis of Uplink and Downlink Communications for Federated Learning
Sihui Zheng
Cong Shen
Xiang Chen
28
139
0
07 Dec 2020
Fast Convergence Algorithm for Analog Federated Learning
Fast Convergence Algorithm for Analog Federated Learning
Shuhao Xia
Jingyang Zhu
Yuhan Yang
Yong Zhou
Yuanming Shi
Wei-Neng Chen
FedML
22
31
0
30 Oct 2020
Fast-Convergent Federated Learning
Fast-Convergent Federated Learning
Hung T. Nguyen
Vikash Sehwag
Seyyedali Hosseinalipour
Christopher G. Brinton
M. Chiang
H. Vincent Poor
FedML
24
191
0
26 Jul 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning
Multi-Armed Bandit Based Client Scheduling for Federated Learning
Wenchao Xia
Tony Q. S. Quek
Kun Guo
Wanli Wen
Howard H. Yang
Hongbo Zhu
FedML
39
218
0
05 Jul 2020
Communication Efficient Federated Learning with Energy Awareness over
  Wireless Networks
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks
Richeng Jin
Xiaofan He
H. Dai
24
25
0
15 Apr 2020
Federated Learning in the Sky: Joint Power Allocation and Scheduling
  with UAV Swarms
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Tengchan Zeng
Omid Semiari
Mohammad Mozaffari
Mingzhe Chen
Walid Saad
M. Bennis
FedML
8
148
0
19 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
1,685
0
14 Apr 2018
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