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Harnessing Wireless Channels for Scalable and Privacy-Preserving
  Federated Learning

Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning

3 July 2020
Anis Elgabli
Jihong Park
Chaouki Ben Issaid
M. Bennis
ArXivPDFHTML

Papers citing "Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning"

10 / 10 papers shown
Title
Communication and Energy Efficient Wireless Federated Learning with
  Intrinsic Privacy
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy
Zhenxiao Zhang
Yuanxiong Guo
Yuguang Fang
Yanmin Gong
28
4
0
15 Apr 2023
A New Implementation of Federated Learning for Privacy and Security
  Enhancement
A New Implementation of Federated Learning for Privacy and Security Enhancement
Xiang Ma
Haijian Sun
R. Hu
Yi Qian
FedML
35
3
0
03 Aug 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
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
34
416
0
24 Nov 2021
Learning, Computing, and Trustworthiness in Intelligent IoT
  Environments: Performance-Energy Tradeoffs
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
B. Soret
L. Nguyen
J. Seeger
Arne Bröring
Chaouki Ben Issaid
S. Samarakoon
Anis El Gabli
V. Kulkarni
M. Bennis
P. Popovski
25
13
0
04 Oct 2021
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge
  Machine Learning
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
Yusuke Koda
Jihong Park
M. Bennis
Praneeth Vepakomma
Ramesh Raskar
21
10
0
02 May 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
Communication Efficient Distributed Learning with Censored, Quantized,
  and Generalized Group ADMM
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM
Chaouki Ben Issaid
Anis Elgabli
Jihong Park
M. Bennis
Mérouane Debbah
FedML
31
13
0
14 Sep 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
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
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