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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"

50 / 138 papers shown
Title
Federated Learning for Distributed Spectrum Sensing in NextG
  Communication Networks
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks
Yi Shi
Y. Sagduyu
T. Erpek
FedML
24
15
0
06 Apr 2022
Over-the-Air Federated Learning via Second-Order Optimization
Over-the-Air Federated Learning via Second-Order Optimization
Peng Yang
Yuning Jiang
Ting Wang
Yong Zhou
Yuanming Shi
Colin N. Jones
45
28
0
29 Mar 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable
  Neural Networks
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
Won Joon Yun
Yunseok Kwak
Hankyul Baek
Soyi Jung
Mingyue Ji
M. Bennis
Jihong Park
Joongheon Kim
18
16
0
26 Mar 2022
Sparse Federated Learning with Hierarchical Personalized Models
Sparse Federated Learning with Hierarchical Personalized Models
Xiaofeng Liu
Qing Wang
Yunfeng Shao
Yinchuan Li
FedML
47
11
0
25 Mar 2022
SHED: A Newton-type algorithm for federated learning based on
  incremental Hessian eigenvector sharing
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
Nicolò Dal Fabbro
S. Dey
M. Rossi
Luca Schenato
FedML
29
14
0
11 Feb 2022
Parallel Successive Learning for Dynamic Distributed Model Training over
  Heterogeneous Wireless Networks
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
Seyyedali Hosseinalipour
Su Wang
Nicolò Michelusi
Vaneet Aggarwal
Christopher G. Brinton
David J. Love
M. Chiang
23
27
0
07 Feb 2022
Energy-Aware Edge Association for Cluster-based Personalized Federated
  Learning
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning
Yixuan Li
Xiaoqi Qin
H. Chen
K. Han
Ping Zhang
FedML
33
13
0
06 Feb 2022
Communication-Efficient Stochastic Zeroth-Order Optimization for
  Federated Learning
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
Wenzhi Fang
Ziyi Yu
Yuning Jiang
Yuanming Shi
Colin N. Jones
Yong Zhou
FedML
78
57
0
24 Jan 2022
A Comprehensive Survey on Federated Learning: Concept and Applications
A Comprehensive Survey on Federated Learning: Concept and Applications
Dhurgham Hassan Mahlool
Mohammed Hamzah Abed
FedML
23
22
0
23 Jan 2022
Communication-Efficient Device Scheduling for Federated Learning Using
  Stochastic Optimization
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization
Jake B. Perazzone
Shiqiang Wang
Mingyue Ji
Kevin S. Chan
FedML
21
72
0
19 Jan 2022
On Convergence of Federated Averaging Langevin Dynamics
On Convergence of Federated Averaging Langevin Dynamics
Wei Deng
Qian Zhang
Yi Ma
Zhao Song
Guang Lin
FedML
30
16
0
09 Dec 2021
Communication-Efficient Federated Learning via Quantized Compressed
  Sensing
Communication-Efficient Federated Learning via Quantized Compressed Sensing
Yong-Nam Oh
Namyoon Lee
Yo-Seb Jeon
H. Vincent Poor
FedML
MQ
27
34
0
30 Nov 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
43
417
0
24 Nov 2021
Over-the-Air Federated Learning with Retransmissions (Extended Version)
Over-the-Air Federated Learning with Retransmissions (Extended Version)
Henrik Hellström
Viktoria Fodor
Carlo Fischione
24
2
0
19 Nov 2021
Federated Learning for Internet of Things: Applications, Challenges, and
  Opportunities
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
Tuo Zhang
Lei Gao
Chaoyang He
Mi Zhang
Bhaskar Krishnamachari
Salman Avestimehr
FedML
19
168
0
15 Nov 2021
Power Allocation for Wireless Federated Learning using Graph Neural
  Networks
Power Allocation for Wireless Federated Learning using Graph Neural Networks
Boning Li
A. Swami
Santiago Segarra
FedML
64
12
0
15 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
37
94
0
22 Oct 2021
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated
  Learning against Byzantine Attackers
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers
Xin-Yue Fan
Yue Wang
Yan Huo
Zhi Tian
FedML
22
23
0
18 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
70
90
0
30 Sep 2021
Fundamental limits of over-the-air optimization: Are analog schemes
  optimal?
Fundamental limits of over-the-air optimization: Are analog schemes optimal?
Shubham K. Jha
Prathamesh Mayekar
Himanshu Tyagi
24
7
0
11 Sep 2021
Unit-Modulus Wireless Federated Learning Via Penalty Alternating
  Minimization
Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization
Shuai Wang
Dachuan Li
Rui-cang Wang
Qi Hao
Yik-Chung Wu
Derrick Wing Kwan Ng
31
1
0
31 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
36
74
0
20 Aug 2021
Learning from Images: Proactive Caching with Parallel Convolutional
  Neural Networks
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
Yantong Wang
Ye Hu
Zhaohui Yang
Walid Saad
Kai‐Kit Wong
V. Friderikos
31
4
0
15 Aug 2021
On Addressing Heterogeneity in Federated Learning for Autonomous
  Vehicles Connected to a Drone Orchestrator
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator
I. Donevski
J. J. Nielsen
P. Popovski
35
7
0
05 Aug 2021
Accelerated Gradient Descent Learning over Multiple Access Fading
  Channels
Accelerated Gradient Descent Learning over Multiple Access Fading Channels
Raz Paul
Yuval Friedman
Kobi Cohen
27
30
0
26 Jul 2021
How Does Cell-Free Massive MIMO Support Multiple Federated Learning
  Groups?
How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups?
Thanh Tung Vu
H. Ngo
T. Marzetta
M. Matthaiou
AI4CE
30
13
0
20 Jul 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
412
0
14 Jul 2021
Faithful Edge Federated Learning: Scalability and Privacy
Faithful Edge Federated Learning: Scalability and Privacy
Meng Zhang
Ermin Wei
R. Berry
FedML
26
44
0
30 Jun 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
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
35
73
0
20 Jun 2021
Fine-Grained Data Selection for Improved Energy Efficiency of Federated
  Edge Learning
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
A. Albaseer
M. Abdallah
Ala I. Al-Fuqaha
A. Erbad
31
35
0
20 Jun 2021
Over-the-Air Decentralized Federated Learning
Over-the-Air Decentralized Federated Learning
Yandong Shi
Yong Zhou
Yuanming Shi
FedML
34
41
0
15 Jun 2021
Joint Client Scheduling and Resource Allocation under Channel
  Uncertainty in Federated Learning
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
Madhusanka Manimel Wadu
S. Samarakoon
M. Bennis
18
51
0
12 Jun 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning
  Convergence Analysis
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
Baihe Huang
Xiaoxiao Li
Zhao Song
Xin Yang
FedML
31
16
0
11 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
42
54
0
30 Apr 2021
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research
  Challenges and Future Trends
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends
Pavlos S. Bouzinis
P. Diamantoulakis
G. Karagiannidis
18
48
0
24 Apr 2021
Turning Channel Noise into an Accelerator for Over-the-Air Principal
  Component Analysis
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis
Zezhong Zhang
Guangxu Zhu
Rui-cang Wang
Vincent K. N. Lau
Kaibin Huang
33
31
0
20 Apr 2021
Decentralized Federated Learning for UAV Networks: Architecture,
  Challenges, and Opportunities
Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
Yuben Qu
Haipeng Dai
Yan Zhuang
Jiafa Chen
Chao Dong
Fan Wu
Song Guo
16
71
0
15 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
38
401
0
05 Apr 2021
Federated Learning: A Signal Processing Perspective
Federated Learning: A Signal Processing Perspective
Tomer Gafni
Nir Shlezinger
Kobi Cohen
Yonina C. Eldar
H. Vincent Poor
FedML
34
128
0
31 Mar 2021
UAV Communications for Sustainable Federated Learning
UAV Communications for Sustainable Federated Learning
Viet Quoc Pham
M. Zeng
Rukhsana Ruby
Thien Huynh-The
W. Hwang
19
88
0
20 Mar 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
37
109
0
18 Mar 2021
Over-the-Air Statistical Estimation
Over-the-Air Statistical Estimation
Chuan-Zheng Lee
L. P. Barnes
Ayfer Özgür
32
12
0
06 Mar 2021
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous
  Federated Learning
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning
Hyun-Suk Lee
Jang-Won Lee
81
53
0
02 Mar 2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between
  Convergence and Power Transfer
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer
Qunsong Zeng
Yuqing Du
Kaibin Huang
37
35
0
24 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
92
0
29 Jan 2021
Meta-Reinforcement Learning for Reliable Communication in THz/VLC
  Wireless VR Networks
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks
Yining Wang
Mingzhe Chen
Zhaohui Yang
Walid Saad
T. Luo
Shuguang Cui
H. Vincent Poor
OffRL
19
30
0
29 Jan 2021
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid
  Beamforming Design
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design
Chongwen Huang
Zhaohui Yang
G. C. Alexandropoulos
Kai Xiong
Li Wei
Chau Yuen
Zhaoyang Zhang
Merouane Debbah
32
326
0
22 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
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