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2007.09511
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Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks
IEEE/ACM Transactions on Networking (TON), 2020
18 July 2020
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
Vaneet Aggarwal
David J. Love
H. Dai
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Papers citing
"Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks"
42 / 42 papers shown
From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks
Allan Salihovic
Payam Abdisarabshali
Michael Langberg
Seyyedali Hosseinalipour
FedML
OOD
326
0
0
03 Sep 2025
Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures
Payam Abdisarabshali
Fardis Nadimi
Kasra Borazjani
Naji Khosravan
Minghui Liwang
W. Ni
Dusit Niyato
Michael Langberg
Seyyedali Hosseinalipour
AI4CE
167
0
0
03 Sep 2025
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
330
27
0
08 May 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
Maryam Ebrahimi
Rajeev Sahay
Seyyedali Hosseinalipour
Bita Akram
353
4
0
20 Jan 2025
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
Neural Information Processing Systems (NeurIPS), 2024
Wenzhi Fang
Dong-Jun Han
Evan Chen
Jianing Zhang
Christopher G. Brinton
227
20
0
27 Sep 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
Neural Information Processing Systems (NeurIPS), 2024
Jie Hu
Yi-Ting Ma
Do Young Eun
FedML
373
2
0
26 Sep 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
IEEE Transactions on Mobile Computing (IEEE TMC), 2024
Xingrun Yan
Shiyuan Zuo
Rongfei Fan
Han Hu
Li Shen
Puning Zhao
Yong Luo
FedML
249
1
0
19 Aug 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
237
0
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
298
9
0
05 Jul 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
Satyavrat Wagle
Seyyedali Hosseinalipour
Naji Khosravan
Christopher G. Brinton
FedML
227
6
0
15 Apr 2024
Biased Over-the-Air Federated Learning under Wireless Heterogeneity
Muhammad Faraz Ul Abrar
Nicolò Michelusi
223
4
0
28 Mar 2024
Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
Muhammad Faraz Ul Abrar
Nicolò Michelusi
373
4
0
01 Feb 2024
Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Ahmad Esmaeili
Zahra Ghorrati
Eric T. Matson
199
1
0
29 Dec 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
275
57
0
21 Oct 2023
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning
Pedro Valdeira
Yuejie Chi
Cláudia Soares
Joao Xavier
225
3
0
18 Sep 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
23
0
03 Aug 2023
Confidential Computing across Edge-to-Cloud for Machine Learning: A Survey Study
Software, Practice & Experience (SPE), 2023
S. Zobaed
M. Salehi
FedML
221
12
0
31 Jul 2023
Federated Learning-Empowered AI-Generated Content in Wireless Networks
IEEE Network (IEEE Netw.), 2023
Xumin Huang
Peichun Li
Hongyang Du
Jiawen Kang
Dusit Niyato
Dong In Kim
Yuehua Wu
164
87
0
14 Jul 2023
FedDec: Peer-to-peer Aided Federated Learning
International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2023
Marina Costantini
Giovanni Neglia
T. Spyropoulos
FedML
145
2
0
11 Jun 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
311
20
0
22 Mar 2023
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks
ACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2023
Rohit Parasnis
Seyyedali Hosseinalipour
Yun-Wei Chu
M. Chiang
Christopher G. Brinton
FedML
204
23
0
15 Mar 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
340
109
0
06 Feb 2023
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
IEEE/ACM Transactions on Networking (TON), 2022
Yuntao Wang
Zhou Su
Yanghe Pan
Tom H. Luan
Ruidong Li
Shui Yu
FedML
354
25
0
25 Dec 2022
Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
Shahryar Zehtabi
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
320
7
0
23 Nov 2022
Non-Coherent Over-the-Air Decentralized Gradient Descent
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Nicolò Michelusi
369
14
0
19 Nov 2022
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations
IET Communications (IET Commun.), 2022
Nima Tavangaran
Mingzhe Chen
Zhaohui Yang
J. M. B. D. Silva
H. Vincent Poor
FedML
314
10
0
25 Aug 2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange
Global Communications Conference (GLOBECOM), 2022
Satyavrat Wagle
Seyyedali Hosseinalipour
Naji Khosravan
M. Chiang
Christopher G. Brinton
FedML
225
5
0
04 Aug 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen
Lauri Lovén
Naser Hossein Motlagh
Abhishek Kumar
Juha Partala
...
M. Bennis
Sasu Tarkoma
Schahram Dustdar
Susanna Pirttikangas
J. Riekki
391
39
0
03 May 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds
IEEE Conference on Decision and Control (CDC), 2022
Shahryar Zehtabi
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
219
19
0
07 Apr 2022
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point
IEEE/ACM Transactions on Networking (TON), 2022
Bhargav Ganguly
Seyyedali Hosseinalipour
Kwang Taik Kim
Christopher G. Brinton
Vaneet Aggarwal
David J. Love
M. Chiang
FedML
277
23
0
26 Mar 2022
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
IEEE Journal on Selected Areas in Communications (JSAC), 2022
Dinh C. Nguyen
Seyyedali Hosseinalipour
David J. Love
P. Pathirana
Christopher G. Brinton
299
70
0
18 Mar 2022
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
IEEE/ACM Transactions on Networking (TON), 2022
Seyyedali Hosseinalipour
Su Wang
Nicolò Michelusi
Vaneet Aggarwal
Christopher G. Brinton
David J. Love
M. Chiang
406
31
0
07 Feb 2022
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity
David Nickel
F. Lin
Seyyedali Hosseinalipour
Nicolò Michelusi
Christopher G. Brinton
FedML
313
2
0
27 Dec 2021
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling
Global Communications Conference (GLOBECOM), 2021
F. Lin
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
FedML
203
2
0
07 Sep 2021
Management of Resource at the Network Edge for Federated Learning
Silvana Trindade
L. Bittencourt
N. Fonseca
213
9
0
07 Jul 2021
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
Van-Dinh Nguyen
Symeon Chatzinotas
Björn E. Ottersten
T. Duong
FedML
426
22
0
04 Jul 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
IEEE Transactions on Network and Service Management (TNSM), 2021
Su Wang
Seyyedali Hosseinalipour
M. Gorlatova
Christopher G. Brinton
M. Chiang
411
51
0
29 Jun 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
IEEE Journal on Selected Areas in Communications (JSAC), 2021
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
307
511
0
05 Apr 2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Annual IEEE International Conference on Pervasive Computing and Communications (PerCom), 2021
Sangsu Lee
Xi Zheng
Jie Hua
H. Vikalo
Christine Julien
FedML
195
30
0
24 Mar 2021
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
IEEE Transactions on Wireless Communications (IEEE TWC), 2021
Xing Xu
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
341
17
0
24 Mar 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations
IEEE Journal on Selected Areas in Communications (JSAC), 2021
F. Lin
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
FedML
342
138
0
18 Mar 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
IEEE Conference on Computer Communications (INFOCOM), 2021
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
334
130
0
04 Jan 2021
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