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1901.00844
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Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air
3 January 2019
Mohammad Mohammadi Amiri
Deniz Gunduz
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Papers citing
"Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air"
18 / 18 papers shown
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
IEEE Access (IEEE Access), 2023
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
272
124
0
11 Jul 2023
Federated Learning in Wireless Networks via Over-the-Air Computations
IEEE Conference on Decision and Control (CDC), 2023
Halil Yigit Oksuz
Fabio Molinari
Henning Sprekeler
J. Raisch
FedML
112
2
0
08 May 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Zhenxiao Zhang
Yuanxiong Guo
Yuguang Fang
Yanmin Gong
171
7
0
15 Apr 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
IEEE Communications Surveys and Tutorials (COMST), 2023
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
282
65
0
13 Apr 2023
Communication-Efficient Federated Learning over MIMO Multiple Access Channels
IEEE Transactions on Communications (IEEE Trans. Commun.), 2022
Yo-Seb Jeon
Mohammad Mohammadi Amiri
Namyoon Lee
128
17
0
12 Jun 2022
Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signals
International Conference on Security and Management (SAM), 2022
Ahmet M. Elbir
Sinem Coleri
Kumar Vijay Mishra
180
4
0
06 May 2022
Over-the-Air Ensemble Inference with Model Privacy
International Symposium on Information Theory (ISIT), 2022
Selim F. Yilmaz
Burak Hasircioglu
Deniz Gunduz
FedML
189
25
0
07 Feb 2022
Communication-Efficient Federated Learning via Quantized Compressed Sensing
Yong-Nam Oh
Namyoon Lee
Yo-Seb Jeon
H. Vincent Poor
FedML
MQ
180
53
0
30 Nov 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Debaditya Shome
Omer Waqar
Wali Ullah Khan
216
37
0
14 Oct 2021
Fundamental limits of over-the-air optimization: Are analog schemes optimal?
Shubham K. Jha
Prathamesh Mayekar
Himanshu Tyagi
163
10
0
11 Sep 2021
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
Xizixiang Wei
Cong Shen
FedML
350
14
0
06 Jan 2021
Communicate to Learn at the Edge
Deniz Gunduz
David Burth Kurka
Mikolaj Jankowski
M. Amiri
Emre Ozfatura
Sreejith Sreekumar
117
66
0
28 Sep 2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
IEEE Transactions on Wireless Communications (TWC), 2020
Dingzhu Wen
M. Bennis
Kaibin Huang
280
55
0
10 Mar 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
IEEE Transactions on Wireless Communications (TWC), 2020
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
217
193
0
28 Jan 2020
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
Yuxuan Sun
Sheng Zhou
Deniz Gündüz
FedML
199
101
0
01 Nov 2019
Machine Learning in the Air
IEEE Journal on Selected Areas in Communications (JSAC), 2019
Deniz Gunduz
Paul de Kerret
N. Sidiropoulos
David Gesbert
C. Murthy
M. Schaar
AI4CE
149
204
0
28 Apr 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)
Guangxu Zhu
Yong Wang
Kaibin Huang
FedML
273
718
0
30 Dec 2018
Distributed Gradient Descent with Coded Partial Gradient Computations
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018
Emre Ozfatura
S. Ulukus
Deniz Gunduz
186
41
0
22 Nov 2018
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