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Federated Learning over Wireless Fading Channels

Federated Learning over Wireless Fading Channels

23 July 2019
M. Amiri
Deniz Gunduz
ArXivPDFHTML

Papers citing "Federated Learning over Wireless Fading Channels"

31 / 81 papers shown
Title
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
27
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
22
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
14
13
0
20 Jul 2021
In-Network Learning: Distributed Training and Inference in Networks
In-Network Learning: Distributed Training and Inference in Networks
Matei Moldoveanu
A. Zaidi
25
11
0
07 Jul 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
30
36
0
29 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
16
51
0
12 Jun 2021
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation
Yulin Shao
Soung Chang Liew
Deniz Gunduz
56
14
0
22 May 2021
On In-network learning. A Comparative Study with Federated and Split
  Learning
On In-network learning. A Comparative Study with Federated and Split Learning
Matei Moldoveanu
A. Zaidi
FedML
17
7
0
30 Apr 2021
Semi-Decentralized Federated Edge Learning for Fast Convergence on
  Non-IID Data
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
FedML
26
39
0
26 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
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
21
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
21
128
0
31 Mar 2021
A Framework for Energy and Carbon Footprint Analysis of Distributed and
  Federated Edge Learning
A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning
S. Savazzi
Sanaz Kianoush
V. Rampa
M. Bennis
8
14
0
18 Mar 2021
Over-the-Air Statistical Estimation
Over-the-Air Statistical Estimation
Chuan-Zheng Lee
L. P. Barnes
Ayfer Özgür
13
12
0
06 Mar 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
37
92
0
29 Jan 2021
Opportunities of Federated Learning in Connected, Cooperative and
  Automated Industrial Systems
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
S. Savazzi
M. Nicoli
M. Bennis
Sanaz Kianoush
Luca Barbieri
FedML
AIFin
AI4CE
40
124
0
09 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
Compression Boosts Differentially Private Federated Learning
Compression Boosts Differentially Private Federated Learning
Raouf Kerkouche
G. Ács
C. Castelluccia
P. Genevès
FedML
19
29
0
10 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-Neng Chen
FedML
22
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
71
92
0
19 Oct 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
26
129
0
25 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
23
161
0
06 Aug 2020
Efficient Federated Learning over Multiple Access Channel with
  Differential Privacy Constraints
Efficient Federated Learning over Multiple Access Channel with Differential Privacy Constraints
Amir Sonee
Stefano Rini
6
16
0
15 May 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 Machine Learning for Intelligent IoT via Reconfigurable
  Intelligent Surface
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
Kai Yang
Yuanming Shi
Yong Zhou
Zhanpeng Yang
Liqun Fu
Wei-Neng Chen
11
142
0
13 Apr 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
19
9
0
18 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
17
326
0
22 Feb 2020
Wireless Federated Learning with Local Differential Privacy
Wireless Federated Learning with Local Differential Privacy
Mohamed Seif
Ravi Tandon
Ming Li
70
171
0
12 Feb 2020
Cooperative Learning via Federated Distillation over Fading Channels
Cooperative Learning via Federated Distillation over Fading Channels
Jinhyun Ahn
Osvaldo Simeone
Joonhyuk Kang
FedML
6
29
0
03 Feb 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
31
308
0
16 Jan 2020
Collaborative Machine Learning at the Wireless Edge with Blind
  Transmitters
Collaborative Machine Learning at the Wireless Edge with Blind Transmitters
M. Amiri
T. Duman
Deniz Gunduz
15
54
0
08 Jul 2019
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