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Federated Learning for Wireless Communications: Motivation,
  Opportunities and Challenges

Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges

30 July 2019
Solmaz Niknam
Harpreet S. Dhillon
J. H. Reed
ArXivPDFHTML

Papers citing "Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges"

50 / 151 papers shown
Title
Differentially Private Wireless Federated Learning Using Orthogonal
  Sequences
Differentially Private Wireless Federated Learning Using Orthogonal Sequences
Xizixiang Wei
Tianhao Wang
Ruiquan Huang
Cong Shen
Jing Yang
H. Vincent Poor
48
1
0
14 Jun 2023
Personalized Graph Federated Learning with Differential Privacy
Personalized Graph Federated Learning with Differential Privacy
François Gauthier
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
34
7
0
10 Jun 2023
Jammer classification with Federated Learning
Jammer classification with Federated Learning
Peng Wu
Helena Calatrava
Tales Imbiriba
Pau Closas
25
8
0
05 Jun 2023
Federated Learning with Uncertainty-Based Client Clustering for
  Fleet-Wide Fault Diagnosis
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
Hao Lu
Adam Thelen
Olga Fink
Chao Hu
S. Laflamme
FedML
23
10
0
26 Apr 2023
Secure Federated Learning for Cognitive Radio Sensing
Secure Federated Learning for Cognitive Radio Sensing
Małgorzata Wasilewska
H. Bogucka
H. Vincent Poor
23
17
0
23 Mar 2023
FedLP: Layer-wise Pruning Mechanism for Communication-Computation
  Efficient Federated Learning
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning
Zheqi Zhu
Yuchen Shi
Jia Luo
Fei Wang
Chenghui Peng
Pingyi Fan
Khaled B. Letaief
FedML
40
20
0
11 Mar 2023
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection
Oguzhan Akcin
Po-han Li
Shubhankar Agarwal
Sandeep Chinchali
28
3
0
07 Mar 2023
Personalized Decentralized Federated Learning with Knowledge
  Distillation
Personalized Decentralized Federated Learning with Knowledge Distillation
Eunjeong Jeong
Marios Kountouris
FedML
32
16
0
23 Feb 2023
Advancements in Federated Learning: Models, Methods, and Privacy
Advancements in Federated Learning: Models, Methods, and Privacy
Hui Chen
Huandong Wang
Qingyue Long
Depeng Jin
Yong Li
FedML
44
14
0
22 Feb 2023
Towards Decentralized Predictive Quality of Service in Next-Generation
  Vehicular Networks
Towards Decentralized Predictive Quality of Service in Next-Generation Vehicular Networks
Filippo Bragato
Tommaso Lotta
Gianmaria Ventura
Matteo Drago
Federico Mason
M. Giordani
Michele Zorzi
28
4
0
22 Feb 2023
Accordion: A Communication-Aware Machine Learning Framework for Next
  Generation Networks
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks
Fadhel Ayed
Antonio De Domenico
A. García‐Rodríguez
David López-Pérez
16
4
0
12 Jan 2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring
  Application
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Liangqi Yuan
Lu Su
Ziran Wang
36
19
0
12 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and
  Semantics
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Yahao Ding
Zhaohui Yang
Viet Quoc Pham
Zhaoyang Zhang
M. Shikh-Bahaei
36
32
0
03 Jan 2023
Holistic Network Virtualization and Pervasive Network Intelligence for
  6G
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin Shen
Shen
Jie Gao
Wen Wu
Mushu Li
Conghao Zhou
W. Zhuang
35
234
0
02 Jan 2023
Enhancing Federated Learning with spectrum allocation optimization and
  device selection
Enhancing Federated Learning with spectrum allocation optimization and device selection
Tinghao Zhang
Kwok-Yan Lam
Jun Zhao
Feng-Qiang Li
Huimei Han
N. Jamil
33
11
0
27 Dec 2022
Free-Rider Games for Federated Learning with Selfish Clients in NextG
  Wireless Networks
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks
Y. Sagduyu
FedML
24
8
0
21 Dec 2022
Quantum Federated Learning with Entanglement Controlled Circuits and
  Superposition Coding
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding
Won Joon Yun
Jae Pyoung Kim
Hankyul Baek
Soyi Jung
Jihong Park
M. Bennis
Joongheon Kim
34
4
0
04 Dec 2022
Analysis of Error Feedback in Federated Non-Convex Optimization with
  Biased Compression
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression
Xiaoyun Li
Ping Li
FedML
34
4
0
25 Nov 2022
Inverse Feasibility in Over-the-Air Federated Learning
Inverse Feasibility in Over-the-Air Federated Learning
Tomasz Piotrowski
R. Ismayilov
M. Frey
Renato L. G. Cavalcante
14
0
0
25 Nov 2022
Vertical Federated Learning: Concepts, Advances and Challenges
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
64
162
0
23 Nov 2022
Event-Triggered Decentralized Federated Learning over
  Resource-Constrained Edge Devices
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices
Shahryar Zehtabi
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
29
6
0
23 Nov 2022
Fast-Convergent Federated Learning via Cyclic Aggregation
Fast-Convergent Federated Learning via Cyclic Aggregation
Youngjoon Lee
Sangwoo Park
Joonhyuk Kang
FedML
36
5
0
29 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and
  Directions
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
64
32
0
24 Oct 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Xizixiang Wei
Cong Shen
Jing Yang
H. Vincent Poor
57
14
0
18 Oct 2022
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance
  Sampling
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling
Zheqi Zhu
Yuchen Shi
Pingyi Fan
Chenghui Peng
Khaled B. Letaief
FedML
25
8
0
05 Oct 2022
Beam Management in Ultra-dense mmWave Network via Federated
  Reinforcement Learning: An Intelligent and Secure Approach
Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach
Qing Xue
Yijing Liu
Yao Sun
Jian Wang
Lili Yan
Gang Feng
Shaodan Ma
28
53
0
04 Oct 2022
Privacy-preserving Decentralized Federated Learning over Time-varying
  Communication Graph
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph
Yang Lu
Zhengxin Yu
N. Suri
FedML
24
14
0
01 Oct 2022
An Energy Optimized Specializing DAG Federated Learning based on Event
  Triggered Communication
An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication
Xiaofeng Xue
Haokun Mao
Qiong Li
Furong Huang
FedML
33
0
0
26 Sep 2022
Generalizing intrusion detection for heterogeneous networks: A
  stacked-unsupervised federated learning approach
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
G. Bertoli
Lourencco Alves Pereira Junior
A. Santos
O. Saotome
FedML
35
54
0
01 Sep 2022
AFAFed -- Protocol analysis
AFAFed -- Protocol analysis
E. Baccarelli
M. Scarpiniti
Alireza Momenzadeh
S. S. Ahrabi
FedML
6
0
0
29 Jun 2022
Communication-Efficient Federated Learning over MIMO Multiple Access
  Channels
Communication-Efficient Federated Learning over MIMO Multiple Access Channels
Yo-Seb Jeon
Mohammad Mohammadi Amiri
Namyoon Lee
17
18
0
12 Jun 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
Over-the-Air Federated Learning with Joint Adaptive Computation and
  Power Control
Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control
Haibo Yang
Pei-Yuan Qiu
Jia Liu
Aylin Yener
29
18
0
12 May 2022
A Practical Cross-Device Federated Learning Framework over 5G Networks
A Practical Cross-Device Federated Learning Framework over 5G Networks
Wenti Yang
Naiyu Wang
Zhitao Guan
Longfei Wu
Xiaojiang Du
Mohsen Guizani
FedML
15
28
0
18 Apr 2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing
Yong-Nam Oh
Yo-Seb Jeon
Mingzhe Chen
Walid Saad
FedML
33
11
0
16 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG
  Communication Networks
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks
Yi Shi
Y. Sagduyu
T. Erpek
FedML
24
15
0
06 Apr 2022
Towards Energy Efficient Distributed Federated Learning for 6G Networks
Towards Energy Efficient Distributed Federated Learning for 6G Networks
Sunder Ali Khowaja
K. Dev
Parus Khowaja
P. Bellavista
FedML
9
39
0
19 Jan 2022
Jamming Attacks on Federated Learning in Wireless Networks
Jamming Attacks on Federated Learning in Wireless Networks
Yi Shi
Y. Sagduyu
22
10
0
13 Jan 2022
On-the-fly Resource-Aware Model Aggregation for Federated Learning in
  Heterogeneous Edge
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge
Hung T. Nguyen
Roberto Morabito
Kwang Taik Kim
M. Chiang
FedML
26
4
0
21 Dec 2021
Analysis and Evaluation of Synchronous and Asynchronous FLchain
Analysis and Evaluation of Synchronous and Asynchronous FLchain
F. Wilhelmi
L. Giupponi
Paolo Dini
23
5
0
15 Dec 2021
On the Security & Privacy in Federated Learning
On the Security & Privacy in Federated Learning
Gorka Abad
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
44
11
0
10 Dec 2021
Gradient and Projection Free Distributed Online Min-Max Resource
  Optimization
Gradient and Projection Free Distributed Online Min-Max Resource Optimization
Jingrong Wang
Ben Liang
20
3
0
07 Dec 2021
Communication-Efficient Federated Learning via Quantized Compressed
  Sensing
Communication-Efficient Federated Learning via Quantized Compressed Sensing
Yong-Nam Oh
Namyoon Lee
Yo-Seb Jeon
H. Vincent Poor
FedML
MQ
30
34
0
30 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated
  Learning: A Survey of Trends and Challenges
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
Mohammad M. Al-Quraan
Lina S. Mohjazi
Lina Bariah
A. Centeno
A. Zoha
Sami Muhaidat
Mérouane Debbah
Muhammad Ali Imran
22
62
0
14 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
C. Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
43
50
0
09 Nov 2021
Applications and Techniques for Fast Machine Learning in Science
Applications and Techniques for Fast Machine Learning in Science
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
14
71
0
25 Oct 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
41
31
0
14 Oct 2021
Modeling and Analysis of Intermittent Federated Learning Over
  Cellular-Connected UAV Networks
Modeling and Analysis of Intermittent Federated Learning Over Cellular-Connected UAV Networks
Chungang Liu
Di-Chun Liang
Rung-Hung Gau
Luwei Wei
21
1
0
13 Oct 2021
Communication-Efficient Online Federated Learning Framework for
  Nonlinear Regression
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
21
20
0
13 Oct 2021
Federated Learning for Big Data: A Survey on Opportunities,
  Applications, and Future Directions
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu
Viet Quoc Pham
Thien Huynh-The
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Madhusanka Liyanage
FedML
AI4CE
50
39
0
08 Oct 2021
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