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Spectrum Breathing: Protecting Over-the-Air Federated Learning Against
  Interference

Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference

10 May 2023
Zhanwei Wang
Kaibin Huang
Yonina C. Eldar
ArXiv (abs)PDFHTML

Papers citing "Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference"

14 / 14 papers shown
Title
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
72
24
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
122
94
0
30 Sep 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
84
130
0
31 Mar 2021
Time-Correlated Sparsification for Communication-Efficient Federated
  Learning
Time-Correlated Sparsification for Communication-Efficient Federated Learning
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
86
49
0
21 Jan 2021
Over-the-Air Federated Learning from Heterogeneous Data
Over-the-Air Federated Learning from Heterogeneous Data
Tomer Sery
Nir Shlezinger
Kobi Cohen
Yonina C. Eldar
FedML
82
197
0
27 Sep 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
64
49
0
10 Mar 2020
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
92
693
0
06 Nov 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices
Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang
Shiqiang Wang
Victor Valls
Bongjun Ko
Wei-Han Lee
Kin K. Leung
Leandros Tassiulas
110
465
0
26 Sep 2019
A Joint Learning and Communications Framework for Federated Learning
  over Wireless Networks
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen
Zhaohui Yang
Walid Saad
Changchuan Yin
H. Vincent Poor
Shuguang Cui
FedML
94
1,192
0
17 Sep 2019
Federated Learning over Wireless Fading Channels
Federated Learning over Wireless Fading Channels
M. Amiri
Deniz Gunduz
115
512
0
23 Jul 2019
The Roadmap to 6G -- AI Empowered Wireless Networks
The Roadmap to 6G -- AI Empowered Wireless Networks
Khaled B. Letaief
Wei Chen
Yuanming Shi
Jun Zhang
Y. Zhang
74
1,366
0
26 Apr 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning
  (Extended Version)
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)
Guangxu Zhu
Yong Wang
Kaibin Huang
FedML
71
647
0
30 Dec 2018
Towards an Intelligent Edge: Wireless Communication Meets Machine
  Learning
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning
Guangxu Zhu
Dongzhu Liu
Yuqing Du
Changsheng You
Jun Zhang
Kaibin Huang
60
507
0
02 Sep 2018
Iteration Complexity of Randomized Block-Coordinate Descent Methods for
  Minimizing a Composite Function
Iteration Complexity of Randomized Block-Coordinate Descent Methods for Minimizing a Composite Function
Peter Richtárik
Martin Takáč
108
772
0
14 Jul 2011
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