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Robust Federated Learning with Noisy Communication

Robust Federated Learning with Noisy Communication

1 November 2019
F. Ang
Li Chen
Senior Member Ieee Nan Zhao
Senior Member Ieee Yunfei Chen
Weidong Wang
Feng Yu
    FedML
ArXivPDFHTML

Papers citing "Robust Federated Learning with Noisy Communication"

14 / 14 papers shown
Title
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Tsutahiro Fukuhara
Junya Hara
Hiroshi Higashi
Yuichi Tanaka
FedML
4
0
0
16 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
59
0
0
08 May 2025
ESFL: Efficient Split Federated Learning over Resource-Constrained
  Heterogeneous Wireless Devices
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
Guangyu Zhu
Yiqin Deng
Xianhao Chen
Haixia Zhang
Yuguang Fang
Tan F. Wong
FedML
24
6
0
24 Feb 2024
Improved Convergence Analysis and SNR Control Strategies for Federated
  Learning in the Presence of Noise
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise
Antesh Upadhyay
Abolfazl Hashemi
44
9
0
14 Jul 2023
Energy and Spectrum Efficient Federated Learning via High-Precision
  Over-the-Air Computation
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation
Liang Li
Chenpei Huang
Dian Shi
Hao Wang
Xiangwei Zhou
Minglei Shu
Miao Pan
FedML
49
9
0
15 Aug 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense
  Mechanisms
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Ehsan Hallaji
R. Razavi-Far
M. Saif
AAML
FedML
27
13
0
05 Jul 2022
Federated learning: Applications, challenges and future directions
Federated learning: Applications, challenges and future directions
Subrato Bharati
Hossain Mondal
Prajoy Podder
V. B. Surya Prasath
FedML
39
53
0
18 May 2022
FRL-FI: Transient Fault Analysis for Federated Reinforcement
  Learning-Based Navigation Systems
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems
Zishen Wan
Aqeel Anwar
Abdulrahman Mahmoud
Tianyu Jia
Yu-Shun Hsiao
Vijay Janapa Reddi
A. Raychowdhury
46
21
0
14 Mar 2022
Decentralized Federated Learning: Balancing Communication and Computing
  Costs
Decentralized Federated Learning: Balancing Communication and Computing Costs
Wei Liu
Li Chen
Wenyi Zhang
FedML
27
106
0
26 Jul 2021
A Hybrid Architecture for Federated and Centralized Learning
A Hybrid Architecture for Federated and Centralized Learning
Ahmet M. Elbir
Sinem Coleri
Anastasios K. Papazafeiropoulos
P. Kourtessis
Symeon Chatzinotas
FedML
20
35
0
07 May 2021
Federated Quantum Machine Learning
Federated Quantum Machine Learning
Samuel Yen-Chi Chen
Shinjae Yoo
FedML
AI4CE
24
117
0
22 Mar 2021
Adaptive Federated Learning and Digital Twin for Industrial Internet of
  Things
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things
Wen Sun
S. Lei
Lu Wang
Zhiqiang Liu
Yan Zhang
FedML
AI4CE
46
198
0
25 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
39
131
0
25 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
1,688
0
14 Apr 2018
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