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Energy-Aware Analog Aggregation for Federated Learning with Redundant
  Data

Energy-Aware Analog Aggregation for Federated Learning with Redundant Data

1 November 2019
Yuxuan Sun
Sheng Zhou
Deniz Gündüz
    FedML
ArXivPDFHTML

Papers citing "Energy-Aware Analog Aggregation for Federated Learning with Redundant Data"

15 / 15 papers shown
Title
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory
Alessandro Buratto
Elia Guerra
M. Miozzo
Paolo Dini
Leonardo Badia
50
1
0
27 Mar 2025
Privacy Protection in Prosumer Energy Management Based on Federated Learning
Yunfeng Li
Xiaolin Li Zhitao Li
Gangqiang Li
FedML
61
3
0
09 Mar 2025
Dynamic Scheduling for Federated Edge Learning with Streaming Data
Dynamic Scheduling for Federated Edge Learning with Streaming Data
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
24
4
0
02 May 2023
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
22
23
0
18 Oct 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
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
Federated Learning with Downlink Device Selection
Federated Learning with Downlink Device Selection
M. Amiri
Sanjeev R. Kulkarni
H. Vincent Poor
FedML
18
9
0
07 Jul 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
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
42
402
0
05 Apr 2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between
  Convergence and Power Transfer
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer
Qunsong Zeng
Yuqing Du
Kaibin Huang
37
35
0
24 Feb 2021
Blind Federated Edge Learning
Blind Federated Edge Learning
M. Amiri
T. Duman
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
83
92
0
19 Oct 2020
A Systematic Literature Review on Federated Machine Learning: From A
  Software Engineering Perspective
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo
Qinghua Lu
Chen Wang
Hye-Young Paik
Liming Zhu
FedML
48
83
0
22 Jul 2020
Communication Efficient Federated Learning over Multiple Access Channels
Communication Efficient Federated Learning over Multiple Access Channels
Wei-Ting Chang
Ravi Tandon
FedML
21
44
0
23 Jan 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
30
681
0
06 Nov 2019
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
1,688
0
14 Apr 2018
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