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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"

41 / 91 papers shown
Title
Integrating Sensing and Communication in Cellular Networks via NR
  Sidelink
Integrating Sensing and Communication in Cellular Networks via NR Sidelink
Dariush Salami
Ramin Hasibi
S. Savazzi
T. Michoel
S. Sigg
27
3
0
15 Sep 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
32
15
0
14 Sep 2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated
  Learning
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning
Chanhoo Park
Seunghoon Lee
Namyoon Lee
29
5
0
14 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
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
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
22
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
27
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
38
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
18
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
22
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
28
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
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
129
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
16
14
0
18 Mar 2021
Over-the-Air Statistical Estimation
Over-the-Air Statistical Estimation
Chuan-Zheng Lee
L. P. Barnes
Ayfer Özgür
24
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
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
42
92
0
29 Jan 2021
Time-Correlated Sparsification for Communication-Efficient Federated
  Learning
Time-Correlated Sparsification for Communication-Efficient Federated Learning
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
38
47
0
21 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
125
0
09 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
25
23
0
31 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
Compression Boosts Differentially Private Federated Learning
Compression Boosts Differentially Private Federated Learning
Raouf Kerkouche
G. Ács
C. Castelluccia
P. Genevès
FedML
22
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 Chen
FedML
27
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
76
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
34
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
34
161
0
06 Aug 2020
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless
  Federated Edge Learning
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning
Ruichen Jiang
Sheng Zhou
FedML
14
17
0
03 Aug 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
13
91
0
18 Jul 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
36
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 Chen
19
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
22
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
76
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
22
29
0
03 Feb 2020
Communication Efficient Federated Learning over Multiple Access Channels
Communication Efficient Federated Learning over Multiple Access Channels
Wei-Ting Chang
Ravi Tandon
FedML
8
44
0
23 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
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
22
54
0
08 Jul 2019
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