Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.11343
Cited By
v1
v2 (latest)
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
IEEE Transactions on Wireless Communications (TWC), 2020
26 February 2020
Siqi Luo
Xu Chen
Qiong Wu
Zhi Zhou
Shuai Yu
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning"
50 / 85 papers shown
A Generalized Hierarchical Federated Learning Framework with Theoretical Guarantees
Seyed Mohammad Azimi-Abarghouyi
Carlo Fischione
FedML
333
2
0
13 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Zhengyi Zhong
Weidong Bao
Ji Wang
Jianguo Chen
Lingjuan Lyu
Wei Yang Bryan Lim
CLL
546
10
0
01 May 2025
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Amir Ali-Pour
Sadra Bekrani
Laya Samizadeh
Julien Gascon-Samson
FedML
243
0
0
22 Apr 2025
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT
IEEE Transactions on Services Computing (TSC), 2025
Xiaohong Yang
Minghui Liwang
Liqun Fu
Yuhan Su
Seyyedali Hosseinalipour
Xianbin Wang
Yiguang Hong
457
2
0
08 Mar 2025
Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning
IEEE Transactions on Communications (IEEE Trans. Commun.), 2024
Moqbel Hamood
A. Albaseer
M. Abdallah
Ala I. Al-Fuqaha
333
5
0
22 Dec 2024
Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning
Zhidong Gao
Yu Zhang
Yanmin Gong
Yuanxiong Guo
214
0
0
29 Sep 2024
Hierarchical Federated ADMM
IEEE Networking Letters (IEEE Netw. Lett.), 2024
Seyed Mohammad Azimi-Abarghouyi
Nicola Bastianello
Karl H. Johansson
Viktoria Fodor
FedML
235
7
0
27 Sep 2024
Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning
Rung-Hung Gau
Ting-Yu Wang
Chun-Hung Liu
247
0
0
17 Aug 2024
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV
IEEE Internet of Things Journal (IEEE IoT J.), 2024
Xueying Gu
Qiong Wu
Pingyi Fan
Qiang Fan
Nan Cheng
Wen Chen
Khaled B. Letaief
470
20
0
17 Aug 2024
UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis
Ruslan Zhagypar
N. Kouzayha
Hesham Elsawy
H. Dahrouj
Tareq Y. Al-Naffouri
305
10
0
05 Jul 2024
Resource Allocation and Secure Wireless Communication in the Large Model-based Mobile Edge Computing System
Zefan Wang
Yitong Wang
Jun Zhao
242
2
0
29 Jun 2024
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
Xiaojing Chen
Zhenyuan Li
Wei Ni
Xin Wang
Shunqing Zhang
Yanzan Sun
Shugong Xu
Qingqi Pei
246
12
0
21 Jun 2024
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
Weiheng Tang
Jingyi Li
Lin Chen
Xu Chen
345
6
0
16 Jun 2024
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing
Xianke Qiang
Zheng Chang
Yun Hu
Lei Liu
Timo Hämäläinen
303
19
0
29 May 2024
Worldwide Federated Training of Language Models
Alexandru Iacob
Lorenzo Sani
Bill Marino
Preslav Aleksandrov
William F. Shen
Nicholas D. Lane
FedML
453
7
0
23 May 2024
Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
Zhonghao Lyu
Yuchen Li
Guangxu Zhu
Jie Xu
H. Vincent Poor
Shuguang Cui
210
21
0
01 Apr 2024
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
Jianjun Huang
Lixin Ye
Li Kang
FedML
159
3
0
19 Mar 2024
Fog enabled distributed training architecture for federated learning
Aditya Kumar
S. Srirama
203
2
0
20 Feb 2024
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
Tinghao Zhang
Kwok-Yan Lam
Jun Zhao
279
24
0
04 Feb 2024
Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach
Moqbel Hamood
A. Albaseer
M. Abdallah
Ala I. Al-Fuqaha
314
0
0
19 Jan 2024
Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity
IEEE Wireless Communications and Networking Conference (WCNC), 2024
Seyed Mohammad Azimi-Abarghouyi
Viktoria Fodor
238
9
0
02 Jan 2024
Bridge the Present and Future: A Cross-Layer Matching Game in Dynamic Cloud-Aided Mobile Edge Networks
Houyi Qi
Minghui Liwang
Xianbin Wang
Li Li
Wei Gong
Jian Jin
Zhenzhen Jiao
253
13
0
07 Dec 2023
Green Edge AI: A Contemporary Survey
Proceedings of the IEEE (Proc. IEEE), 2023
Yuyi Mao
X. Yu
Kaibin Huang
Ying-Jun Angela Zhang
Jun Zhang
483
78
0
01 Dec 2023
Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning
Bibo Wu
Fang Fang
Xianbin Wang
Donghong Cai
Shu Fu
Zhiguo Ding
226
1
0
03 Nov 2023
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Peichun Li
Hanwen Zhang
Yuan Wu
Liping Qian
Rong Yu
Dusit Niyato
X. Shen
283
58
0
21 Oct 2023
REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Y. Li
X. Qin
J. Geng
Ruoxin Chen
Y. Hou
Yonghai Gong
M. Pan
Peng Zhang
236
5
0
24 Sep 2023
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks
Tinghao Zhang
Kwok-Yan Lam
Jun Zhao
196
5
0
17 Sep 2023
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Xiaonan Liu
T. Ratnarajah
M. Sellathurai
Yonina C. Eldar
473
13
0
04 Sep 2023
Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Xuming An
Rongfei Fan
Shiyuan Zuo
Han Hu
Haiyang Jiang
Ningsong Zhang
FedML
179
4
0
17 Aug 2023
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
Md Ferdous Pervej
Richeng Jin
H. Dai
388
25
0
03 Aug 2023
Unleashing the Potential of Stage-Wise Decision-Making in Scheduling of Graph-Structured Tasks over Mobile Vehicular Clouds
IEEE Communications Magazine (IEEE Commun. Mag.), 2023
Minghui Liwang
Bingshuo Guo
Zhanxiao Ma
Yuhan Su
Jian Jin
Seyyedali Hosseinalipour
Xianbin Wang
H. Dai
258
0
0
28 Jul 2023
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks
IEEE Transactions on Services Computing (IEEE TSC), 2023
Houyi Qi
Minghui Liwang
Seyyedali Hosseinalipour
Xiaoyu Xia
Zhipeng Cheng
Xianbin Wang
Zhenzhen Jiao
193
23
0
25 Jun 2023
Distributed Learning over Networks with Graph-Attention-Based Personalization
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Zhuojun Tian
Zhaoyang Zhang
Zhaohui Yang
Richeng Jin
H. Dai
GNN
FedML
265
12
0
22 May 2023
Adaptive Federated Pruning in Hierarchical Wireless Networks
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
Xiaonan Liu
Maroun Touma
Yansha Deng
A. Nallanathan
228
25
0
15 May 2023
Flame: Simplifying Topology Extension in Federated Learning
ACM Symposium on Cloud Computing (SoCC), 2023
Harshit Daga
Jae-Kwang Shin
D. Garg
Ada Gavrilovska
Myungjin Lee
Ramana Rao Kompella
AI4CE
317
12
0
09 May 2023
Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning
Shunfeng Chu
Jun Li
Kang Wei
Yuwen Qian
Kunlun Wang
Feng Shu
Wen Chen
FedML
229
3
0
09 Apr 2023
Delay-Aware Hierarchical Federated Learning
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2023
F. Lin
Seyyedali Hosseinalipour
Nicolò Michelusi
Christopher G. Brinton
FedML
319
22
0
22 Mar 2023
Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2023
Abdulmoneam Ali
A. Arafa
FedML
355
11
0
09 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Jiajun Wu
Steve Drew
Fan Dong
Zhuangdi Zhu
Jiayu Zhou
FedML
358
109
0
06 Feb 2023
FLSTRA: Federated Learning in Stratosphere
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
A. Farajzadeh
Animesh Yadav
Omid Abbasi
Wael Jaafar
H. Yanikomeroglu
538
8
0
01 Feb 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
International Conference on Internet-of-Things Design and Implementation (IoTDI), 2023
Xiaofan Yu
L. Cherkasova
Hars Vardhan
Quanling Zhao
Emily Ekaireb
Xiyuan Zhang
A. Mazumdar
T. Rosing
416
51
0
17 Jan 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Qiong Wu
Xu Chen
Ouyang Tao
Zhi Zhou
Xiaoxi Zhang
Shusen Yang
Junshan Zhang
237
77
0
16 Jan 2023
Enhancing Federated Learning with spectrum allocation optimization and device selection
IEEE/ACM Transactions on Networking (TON), 2022
Tinghao Zhang
Kwok-Yan Lam
Jun Zhao
Feng-Qiang Li
Huimei Han
N. Jamil
195
21
0
27 Dec 2022
Hierarchical Over-the-Air FedGradNorm
Asilomar Conference on Signals, Systems and Computers (ACSSC), 2022
Cemil Vahapoglu
Matin Mortaheb
S. Ulukus
299
5
0
14 Dec 2022
Scalable Hierarchical Over-the-Air Federated Learning
IEEE Transactions on Wireless Communications (TWC), 2022
Seyed Mohammad Azimi-Abarghouyi
Viktoria Fodor
250
26
0
29 Nov 2022
MDA: Availability-Aware Federated Learning Client Selection
Amin Eslami Abyane
Steve Drew
Hadi Hemmati
FedML
307
6
0
25 Nov 2022
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality
IEEE Transactions on Wireless Communications (TWC), 2022
Xinyu Zhou
Chang-rui Liu
Junfeng Zhao
287
37
0
16 Nov 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions
IEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
423
72
0
24 Oct 2022
Time Minimization in Hierarchical Federated Learning
IFIP International Information Security Conference (IFIP SEC), 2022
Chang-rui Liu
Terence Jie Chua
Junfeng Zhao
326
20
0
07 Oct 2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
IEEE International Conference on Distributed Computing Systems (ICDCS), 2022
Xinyu Zhou
Jun Zhao
Huimei Han
C. Guet
FedML
501
37
0
29 Sep 2022
1
2
Next
Page 1 of 2
