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Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
14 November 2021
Mohammad M. Al-Quraan
Lina S. Mohjazi
Lina Bariah
A. Centeno
A. Zoha
Sami Muhaidat
Mérouane Debbah
Muhammad Ali Imran
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Papers citing
"Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges"
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Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
...
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
69
396
0
30 Oct 2021
FairFed: Enabling Group Fairness in Federated Learning
Yahya H. Ezzeldin
Shen Yan
Chaoyang He
Emilio Ferrara
A. Avestimehr
FedML
47
206
0
02 Oct 2021
Federated Learning with Buffered Asynchronous Aggregation
John Nguyen
Kshitiz Malik
Hongyuan Zhan
Ashkan Yousefpour
Michael G. Rabbat
Mani Malek
Dzmitry Huba
FedML
68
301
0
11 Jun 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
Dinh C. Nguyen
Ming Ding
Quoc-Viet Pham
P. Pathirana
Long Bao
Jun Seneviratne
Jun Li
Dusit Niyato
Life Fellow Ieee Poor
FedML
66
426
0
05 Apr 2021
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
131
1,003
0
04 Mar 2021
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
287
855
0
01 Mar 2021
Sustainable Federated Learning
Başak Güler
Aylin Yener
24
14
0
22 Feb 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
Haibo Yang
Minghong Fang
Jia Liu
FedML
42
256
0
27 Jan 2021
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
Hang Liu
Xiaojun Yuan
Y. Zhang
41
125
0
20 Nov 2020
Stochastic Client Selection for Federated Learning with Volatile Clients
Tiansheng Huang
Weiwei Lin
Li Shen
Keqin Li
Albert Y. Zomaya
FedML
78
98
0
17 Nov 2020
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
Ihab Mohammed
Shadha Tabatabai
Ala I. Al-Fuqaha
Faissal El Bouanani
Junaid Qadir
Basheer Qolomany
Mohsen Guizani
37
60
0
16 Nov 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Tiansheng Huang
Weiwei Lin
Wentai Wu
Ligang He
Keqin Li
Albert Y. Zomaya
FedML
97
226
0
03 Nov 2020
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services
Basheer Qolomany
Kashif Ahmad
Ala I. Al-Fuqaha
Junaid Qadir
43
63
0
05 Sep 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO
Ahmet M. Elbir
Sinem Coleri
53
131
0
25 Aug 2020
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
Yi Liu
Jiangtian Nie
Xuandi Li
Syed Hassan Ahmed
Wei Yang Bryan Lim
Chunyan Miao
97
149
0
23 Jul 2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu
S. Garg
Jiangtian Nie
Yan Zhang
Zehui Xiong
Jiawen Kang
M. S. Hossain
FedML
56
378
0
19 Jul 2020
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G
Shashank Jere
Nan Cheng
Bodong Shang
Lianjun Li
Lingjia Liu
95
10
0
15 Jul 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Lasse F. Wolff Anthony
Benjamin Kanding
Raghavendra Selvan
HAI
38
305
0
06 Jul 2020
Experiments of Federated Learning for COVID-19 Chest X-ray Images
Boyi Liu
Bingjie Yan
Yize Zhou
Yifan Yang
Yixian Zhang
OOD
FedML
42
153
0
05 Jul 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data
M. Rasouli
Tao Sun
Ram Rajagopal
FedML
69
145
0
12 Jun 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
Yi Liu
Lizhen Qu
Zehui Xiong
Jiawen Kang
Xiaofei Wang
Dusit Niyato
FedML
AI4CE
40
280
0
04 Jun 2020
Wireless Communications for Collaborative Federated Learning
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
26
156
0
03 Jun 2020
Federated Learning in Vehicular Networks
Ahmet M. Elbir
Burak Soner
Sinem Coleri
Deniz Gunduz
M. Bennis
51
161
0
02 Jun 2020
A Secure Federated Learning Framework for 5G Networks
Yi Liu
Jia-Jie Peng
Jiawen Kang
Abdullah M. Iliyasu
Dusit Niyato
A. El-latif
FedML
33
196
0
12 May 2020
FedSplit: An algorithmic framework for fast federated optimization
Reese Pathak
Martin J. Wainwright
FedML
156
183
0
11 May 2020
A Federated Learning Framework for Healthcare IoT devices
Binhang Yuan
Song Ge
Wenhui Xing
FedML
OOD
27
64
0
07 May 2020
6G White Paper on Edge Intelligence
Ella Peltonen
M. Bennis
M. Capobianco
Merouane Debbah
Aaron Yi Ding
...
S. Samarakoon
K. Seppänen
Paweł Sroka
Sasu Tarkoma
Tingting Yang
40
138
0
30 Apr 2020
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
Kai Yang
Yuanming Shi
Yong Zhou
Zhanpeng Yang
Liqun Fu
Wei Chen
34
143
0
13 Apr 2020
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
296
1,950
0
11 Apr 2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li
Chuan Chen
Nan Liu
Huawei Huang
Zibin Zheng
Qiang Yan
FedML
43
401
0
02 Apr 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness
Jinke Ren
Yinghui He
Dingzhu Wen
Guanding Yu
Kaibin Huang
Dongning Guo
54
194
0
01 Apr 2020
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
88
463
0
31 Mar 2020
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
211
328
0
19 Mar 2020
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
259
437
0
04 Mar 2020
Adaptive Federated Optimization
Sashank J. Reddi
Zachary B. Charles
Manzil Zaheer
Zachary Garrett
Keith Rush
Jakub Konecný
Sanjiv Kumar
H. B. McMahan
FedML
83
1,417
0
29 Feb 2020
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework
Qiong Wu
Kaiwen He
Xu Chen
43
282
0
25 Feb 2020
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Tengchan Zeng
Omid Semiari
Mohammad Mozaffari
Mingzhe Chen
Walid Saad
M. Bennis
FedML
26
150
0
19 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
FedML
139
565
0
19 Feb 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson
Jie Hu
Joshua Romoff
Emma Brunskill
Dan Jurafsky
Joelle Pineau
66
444
0
31 Jan 2020
Artificial Intelligence Aided Next-Generation Networks Relying on UAVs
Xinyu Liu
Mingzhe Chen
Yuanwei Liu
Yue Chen
Shuguang Cui
L. Hanzo
16
48
0
28 Jan 2020
Dynamic Network Slicing for Scalable Fog Computing Systems with Energy Harvesting
Yong Xiao
Marwan Krunz
51
60
0
28 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless Networks
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
42
296
0
22 Jan 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
Guangxu Zhu
Yuqing Du
Deniz Gunduz
Kaibin Huang
56
309
0
16 Jan 2020
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
111
6,177
0
10 Dec 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Shengwen Yang
Bing Ren
Xuhui Zhou
Liping Liu
OOD
FedML
31
132
0
22 Nov 2019
Generative Models for Effective ML on Private, Decentralized Datasets
S. Augenstein
H. B. McMahan
Daniel Ramage
Swaroop Indra Ramaswamy
Peter Kairouz
Mingqing Chen
Rajiv Mathews
Blaise Agüera y Arcas
SyDa
55
182
0
15 Nov 2019
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
75
688
0
21 Oct 2019
Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach
H. T. Nguyen
Nguyen Cong Luong
Jun Zhao
Chau Yuen
Dusit Niyato
24
55
0
21 Oct 2019
Reliable Federated Learning for Mobile Networks
Jiawen Kang
Zehui Xiong
Dusit Niyato
Y. Zou
Yang Zhang
Mohsen Guizani
FedML
42
461
0
14 Oct 2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead
A. Masullo
Ligang He
Toby Perrett
Rui Mao
Carsten Maple
Majid Mirmehdi
42
311
0
03 Oct 2019
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