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A Joint Learning and Communications Framework for Federated Learning
  over Wireless Networks

A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

17 September 2019
Mingzhe Chen
Zhaohui Yang
Walid Saad
Changchuan Yin
H. Vincent Poor
Shuguang Cui
    FedML
ArXivPDFHTML

Papers citing "A Joint Learning and Communications Framework for Federated Learning over Wireless Networks"

38 / 138 papers shown
Title
Sum-Rate Maximization for UAV-assisted Visible Light Communications
  using NOMA: Swarm Intelligence meets Machine Learning
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning
Viet Quoc Pham
Thien Huynh-The
M. Alazab
Jun Zhao
W. Hwang
43
86
0
10 Jan 2021
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A
  Comprehensive Survey
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey
Hossein Pirayesh
Huacheng Zeng
AAML
45
317
0
01 Jan 2021
Bayesian Federated Learning over Wireless Networks
Bayesian Federated Learning over Wireless Networks
Seunghoon Lee
Chanhoo Park
Songnam Hong
Yonina C. Eldar
Namyoon Lee
31
23
0
31 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
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
39
140
0
07 Dec 2020
Distributed Machine Learning for Wireless Communication Networks:
  Techniques, Architectures, and Applications
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
Shuyan Hu
Xiaojing Chen
Wei Ni
Ekram Hossain
Xin Wang
AI4CE
47
111
0
02 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
27
49
0
25 Nov 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 Chen
FedML
29
31
0
30 Oct 2020
Blind Federated Edge Learning
Blind Federated Edge Learning
M. Amiri
T. Duman
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
78
92
0
19 Oct 2020
Machine Learning in Event-Triggered Control: Recent Advances and Open
  Issues
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
Leila Sedghi
Zohaib Ijaz
Md. Noor-A.-Rahim
K. Witheephanich
Dirk Pesch
AI4CE
33
15
0
27 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
15
152
0
22 Sep 2020
Hybrid Beamforming for RIS-Empowered Multi-hop Terahertz Communications:
  A DRL-based Method
Hybrid Beamforming for RIS-Empowered Multi-hop Terahertz Communications: A DRL-based Method
Chongwen Huang
Zhaohui Yang
G. C. Alexandropoulos
Kai Xiong
Li Wei
Chau Yuen
Zhaoyang Zhang
13
62
0
20 Sep 2020
Federated Learning for Channel Estimation in Conventional and
  RIS-Assisted Massive MIMO
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO
Ahmet M. Elbir
Sinem Coleri
34
129
0
25 Aug 2020
Dispersed Federated Learning: Vision, Taxonomy, and Future Directions
Dispersed Federated Learning: Vision, Taxonomy, and Future Directions
L. U. Khan
Walid Saad
Zhu Han
Choong Seon Hong
46
33
0
12 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
Fast-Convergent Federated Learning
Fast-Convergent Federated Learning
Hung T. Nguyen
Vikash Sehwag
Seyyedali Hosseinalipour
Christopher G. Brinton
M. Chiang
H. Vincent Poor
FedML
26
192
0
26 Jul 2020
A Machine Learning Approach for Task and Resource Allocation in Mobile
  Edge Computing Based Networks
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks
Sihua Wang
Mingzhe Chen
Xuanlin Liu
Changchuan Yin
Shuguang Cui
H. Vincent Poor
14
69
0
20 Jul 2020
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog
  Networks
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
Vaneet Aggarwal
David J. Love
H. Dai
23
91
0
18 Jul 2020
Delay Minimization for Federated Learning Over Wireless Communication
  Networks
Delay Minimization for Federated Learning Over Wireless Communication Networks
Zhaohui Yang
Mingzhe Chen
Walid Saad
Choong Seon Hong
M. Shikh-Bahaei
H. Vincent Poor
Shuguang Cui
FedML
21
53
0
05 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
55
218
0
05 Jul 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated
  Learning
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning
Myungjae Shin
Chihoon Hwang
Joongheon Kim
Jihong Park
M. Bennis
Seong-Lyun Kim
FedML
22
108
0
09 Jun 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
36
25
0
15 Apr 2020
Dynamic Sampling and Selective Masking for Communication-Efficient
  Federated Learning
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning
Shaoxiong Ji
Wenqi Jiang
A. Walid
Xue Li
FedML
28
66
0
21 Mar 2020
Federated Learning for Task and Resource Allocation in Wireless High
  Altitude Balloon Networks
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
Sihua Wang
Mingzhe Chen
Changchuan Yin
Walid Saad
Choong Seon Hong
Shuguang Cui
H. Vincent Poor
36
67
0
19 Mar 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO
  Communication Systems
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems
Yo-Seb Jeon
M. Amiri
Jun Li
H. Vincent Poor
30
9
0
18 Mar 2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of
  Partitioned Edge Learning
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
Dingzhu Wen
M. Bennis
Kaibin Huang
31
48
0
10 Mar 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
23
326
0
22 Feb 2020
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable
  Edge Computing Systems
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
M. S. Munir
N. H. Tran
Walid Saad
Choong Seon Hong
11
19
0
20 Feb 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
22
148
0
19 Feb 2020
Communication Efficient Federated Learning over Multiple Access Channels
Communication Efficient Federated Learning over Multiple Access Channels
Wei-Ting Chang
Ravi Tandon
FedML
21
44
0
23 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless
  Networks
Convergence Time Optimization for Federated Learning over Wireless Networks
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
22
295
0
22 Jan 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated
  Edge Learning: Design and Convergence Analysis
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
Guangxu Zhu
Yuqing Du
Deniz Gunduz
Kaibin Huang
39
308
0
16 Jan 2020
Deep Learning for Optimal Deployment of UAVs with Visible Light
  Communications
Deep Learning for Optimal Deployment of UAVs with Visible Light Communications
Yining Wang
Mingzhe Chen
Zhaohui Yang
T. Luo
Walid Saad
20
94
0
28 Nov 2019
Machine Intelligence at the Edge with Learning Centric Power Allocation
Machine Intelligence at the Edge with Learning Centric Power Allocation
Shuai Wang
Yik-Chung Wu
Minghua Xia
Rui-cang Wang
H. Vincent Poor
35
66
0
12 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication Networks
Energy Efficient Federated Learning Over Wireless Communication Networks
Zhaohui Yang
Mingzhe Chen
Walid Saad
Choong Seon Hong
M. Shikh-Bahaei
30
681
0
06 Nov 2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized
  Machine Learning
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
Anis Elgabli
Jihong Park
Amrit Singh Bedi
Chaouki Ben Issaid
M. Bennis
Vaneet Aggarwal
24
67
0
23 Oct 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems
Accelerating DNN Training in Wireless Federated Edge Learning Systems
Jinke Ren
Guanding Yu
Guangyao Ding
FedML
29
168
0
23 May 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
144
1,687
0
14 Apr 2018
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