ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.02151
  4. Cited By
Distributed Learning in Wireless Networks: Recent Progress and Future
  Challenges

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

5 April 2021
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
ArXivPDFHTML

Papers citing "Distributed Learning in Wireless Networks: Recent Progress and Future Challenges"

21 / 121 papers shown
Title
Jamming Attacks on Federated Learning in Wireless Networks
Jamming Attacks on Federated Learning in Wireless Networks
Yi Shi
Y. Sagduyu
14
10
0
13 Jan 2022
How global observation works in Federated Learning: Integrating vertical
  training into Horizontal Federated Learning
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning
Shuo Wan
Jiaxun Lu
Pingyi Fan
Yunfeng Shao
Chenghui Peng
Khaled B. Letaief
FedML
19
14
0
02 Dec 2021
Federated learning and next generation wireless communications: A survey
  on bidirectional relationship
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Debaditya Shome
Omer Waqar
Wali Ullah Khan
26
31
0
14 Oct 2021
Fast Federated Edge Learning with Overlapped Communication and
  Computation and Channel-Aware Fair Client Scheduling
Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling
M. E. Ozfatura
Junlin Zhao
Deniz Gündüz
29
15
0
14 Sep 2021
Distributed Learning for Time-varying Networks: A Scalable Design
Distributed Learning for Time-varying Networks: A Scalable Design
Jian Wang
Yourui Huangfu
Rong Li
Yiqun Ge
Jun Wang
6
1
0
31 Jul 2021
A New Distributed Method for Training Generative Adversarial Networks
A New Distributed Method for Training Generative Adversarial Networks
Jinke Ren
Chonghe Liu
Guanding Yu
Dongning Guo
14
1
0
19 Jul 2021
Energy Efficient Federated Learning in Integrated Fog-Cloud Computing
  Enabled Internet-of-Things Networks
Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks
Mohammed S. Al-Abiad
Md. Zoheb Hassan
Md. Jahangir Hossain
35
7
0
07 Jul 2021
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy
  Constraints
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints
Yuxuan Sun
Sheng Zhou
Z. Niu
Deniz Gündüz
10
92
0
31 May 2021
AirNet: Neural Network Transmission over the Air
AirNet: Neural Network Transmission over the Air
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
68
1
0
24 May 2021
Gradient Coding with Dynamic Clustering for Straggler-Tolerant
  Distributed Learning
Gradient Coding with Dynamic Clustering for Straggler-Tolerant Distributed Learning
Baturalp Buyukates
Emre Ozfatura
S. Ulukus
Deniz Gunduz
27
15
0
01 Mar 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
31
35
0
24 Feb 2021
Federated Learning for Physical Layer Design
Federated Learning for Physical Layer Design
Ahmet M. Elbir
Anastasios K. Papazafeiropoulos
Symeon Chatzinotas
FedML
8
26
0
23 Feb 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
Meta-Reinforcement Learning for Reliable Communication in THz/VLC
  Wireless VR Networks
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks
Yining Wang
Mingzhe Chen
Zhaohui Yang
Walid Saad
T. Luo
Shuguang Cui
H. Vincent Poor
OffRL
11
30
0
29 Jan 2021
Dopamine: Differentially Private Federated Learning on Medical Data
Dopamine: Differentially Private Federated Learning on Medical Data
Mohammad Malekzadeh
Burak Hasircioglu
N. Mital
K. Katarya
M. E. Ozfatura
Deniz Gündüz
OOD
FedML
28
51
0
27 Jan 2021
Wireless Image Retrieval at the Edge
Wireless Image Retrieval at the Edge
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
72
203
0
21 Jul 2020
Convergence of Update Aware Device Scheduling for Federated Learning at
  the Wireless Edge
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
92
170
0
28 Jan 2020
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
174
760
0
28 Sep 2019
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
75
387
0
16 Apr 2018
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
Robust Analog Function Computation via Wireless Multiple-Access Channels
Robust Analog Function Computation via Wireless Multiple-Access Channels
Mario Goldenbaum
S. Stańczak
52
176
0
10 Oct 2012
Previous
123