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Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog
  Networks

Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks

18 July 2020
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
Vaneet Aggarwal
David J. Love
H. Dai
ArXivPDFHTML

Papers citing "Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks"

42 / 42 papers shown
Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
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
54
0
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
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
44
1
0
20 Jan 2025
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
Wenzhi Fang
Dong-Jun Han
Evan Chen
Jianing Zhang
Christopher G. Brinton
34
4
0
27 Sep 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in
  Unified Distributed SGD
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
Jie Hu
Yi-Ting Ma
Do Young Eun
FedML
27
0
0
26 Sep 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID
  Datasets
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
Xingrun Yan
Shiyuan Zuo
Rongfei Fan
Han Hu
Li Shen
Puning Zhao
Yong Luo
FedML
55
0
0
19 Aug 2024
Twin Sorting Dynamic Programming Assisted User Association and Wireless
  Bandwidth Allocation for Hierarchical Federated Learning
Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning
Rung-Hung Gau
Ting-Yu Wang
Chun-Hung Liu
29
0
0
17 Aug 2024
UAV-assisted Unbiased Hierarchical Federated Learning: Performance and
  Convergence Analysis
UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis
Ruslan Zhagypar
N. Kouzayha
Hesham Elsawy
H. Dahrouj
Tareq Y. Al-Naffouri
39
2
0
05 Jul 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning
  without Labels
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
Satyavrat Wagle
Seyyedali Hosseinalipour
Naji Khosravan
Christopher G. Brinton
FedML
40
2
0
15 Apr 2024
Biased Over-the-Air Federated Learning under Wireless Heterogeneity
Biased Over-the-Air Federated Learning under Wireless Heterogeneity
Muhammad Faraz Ul Abrar
Nicolò Michelusi
36
2
0
28 Mar 2024
Analog-digital Scheduling for Federated Learning: A
  Communication-Efficient Approach
Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
Muhammad Faraz Ul Abrar
Nicolò Michelusi
41
2
0
01 Feb 2024
Holonic Learning: A Flexible Agent-based Distributed Machine Learning
  Framework
Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework
Ahmad Esmaeili
Zahra Ghorrati
Eric T. Matson
22
1
0
29 Dec 2023
Filling the Missing: Exploring Generative AI for Enhanced Federated
  Learning over Heterogeneous Mobile Edge Devices
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices
Peichun Li
Hanwen Zhang
Yuan Wu
Liping Qian
Rong Yu
Dusit Niyato
X. Shen
32
25
0
21 Oct 2023
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical
  Federated Learning
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning
Pedro Valdeira
Yuejie Chi
Cláudia Soares
Joao Xavier
45
3
0
18 Sep 2023
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles
  Bandwidth Scarcity and System Heterogeneity
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
Md Ferdous Pervej
Richeng Jin
H. Dai
30
9
0
03 Aug 2023
Confidential Computing across Edge-to-Cloud for Machine Learning: A
  Survey Study
Confidential Computing across Edge-to-Cloud for Machine Learning: A Survey Study
S. Zobaed
M. Salehi
FedML
22
3
0
31 Jul 2023
Federated Learning-Empowered AI-Generated Content in Wireless Networks
Federated Learning-Empowered AI-Generated Content in Wireless Networks
Xumin Huang
Peichun Li
Hongyang Du
Jiawen Kang
Dusit Niyato
Dong In Kim
Yuehua Wu
35
55
0
14 Jul 2023
FedDec: Peer-to-peer Aided Federated Learning
FedDec: Peer-to-peer Aided Federated Learning
Marina Costantini
Giovanni Neglia
T. Spyropoulos
FedML
14
1
0
11 Jun 2023
Delay-Aware Hierarchical Federated Learning
Delay-Aware Hierarchical Federated Learning
F. Lin
Seyyedali Hosseinalipour
Nicolò Michelusi
Christopher G. Brinton
FedML
26
11
0
22 Mar 2023
Connectivity-Aware Semi-Decentralized Federated Learning over
  Time-Varying D2D Networks
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks
Rohit Parasnis
Seyyedali Hosseinalipour
Yun-Wei Chu
M. Chiang
Christopher G. Brinton
FedML
24
16
0
15 Mar 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive
  Survey
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Jiajun Wu
Steve Drew
Fan Dong
Zhuangdi Zhu
Jiayu Zhou
FedML
55
46
0
06 Feb 2023
Social-Aware Clustered Federated Learning with Customized Privacy
  Preservation
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
Yuntao Wang
Zhou Su
Yanghe Pan
Tom H. Luan
Ruidong Li
Shui Yu
FedML
31
18
0
25 Dec 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
27
6
0
23 Nov 2022
Non-Coherent Over-the-Air Decentralized Gradient Descent
Non-Coherent Over-the-Air Decentralized Gradient Descent
Nicolò Michelusi
29
6
0
19 Nov 2022
On Differential Privacy for Federated Learning in Wireless Systems with
  Multiple Base Stations
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations
Nima Tavangaran
Mingzhe Chen
Zhaohui Yang
J. M. B. D. Silva
H. Vincent Poor
FedML
28
4
0
25 Aug 2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data
  Exchange
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange
Satyavrat Wagle
Seyyedali Hosseinalipour
Naji Khosravan
M. Chiang
Christopher G. Brinton
FedML
35
5
0
04 Aug 2022
Autonomy and Intelligence in the Computing Continuum: Challenges,
  Enablers, and Future Directions for Orchestration
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
33
26
0
03 May 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous
  Communication Thresholds
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds
Shahryar Zehtabi
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
34
15
0
07 Apr 2022
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized
  Floating Aggregation Point
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point
Bhargav Ganguly
Seyyedali Hosseinalipour
Kwang Taik Kim
Christopher G. Brinton
Vaneet Aggarwal
David J. Love
M. Chiang
FedML
38
18
0
26 Mar 2022
Latency Optimization for Blockchain-Empowered Federated Learning in
  Multi-Server Edge Computing
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
Dinh C. Nguyen
Seyyedali Hosseinalipour
David J. Love
P. Pathirana
Christopher G. Brinton
34
47
0
18 Mar 2022
Parallel Successive Learning for Dynamic Distributed Model Training over
  Heterogeneous Wireless Networks
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
Seyyedali Hosseinalipour
Su Wang
Nicolò Michelusi
Vaneet Aggarwal
Christopher G. Brinton
David J. Love
M. Chiang
23
27
0
07 Feb 2022
Resource-Efficient and Delay-Aware Federated Learning Design under Edge
  Heterogeneity
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity
David Nickel
F. Lin
Seyyedali Hosseinalipour
Nicolò Michelusi
Christopher G. Brinton
FedML
19
1
0
27 Dec 2021
Federated Learning Beyond the Star: Local D2D Model Consensus with
  Global Cluster Sampling
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling
F. Lin
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
FedML
13
2
0
07 Sep 2021
Management of Resource at the Network Edge for Federated Learning
Management of Resource at the Network Edge for Federated Learning
Silvana Trindade
L. Bittencourt
N. Fonseca
22
6
0
07 Jul 2021
FedFog: Network-Aware Optimization of Federated Learning over Wireless
  Fog-Cloud Systems
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
Van-Dinh Nguyen
Symeon Chatzinotas
Björn E. Ottersten
T. Duong
FedML
30
16
0
04 Jul 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A
  Hierarchical Nested Personalized Federated Learning Approach
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
Su Wang
Seyyedali Hosseinalipour
M. Gorlatova
Christopher G. Brinton
M. Chiang
38
36
0
29 Jun 2021
Distributed Learning in Wireless Networks: Recent Progress and Future
  Challenges
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
38
401
0
05 Apr 2021
Opportunistic Federated Learning: An Exploration of Egocentric
  Collaboration for Pervasive Computing Applications
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Sangsu Lee
Xi Zheng
Jie Hua
H. Vikalo
Christine Julien
FedML
29
25
0
24 Mar 2021
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement
  Learning with Efficient Communication
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
Xing Xu
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
38
12
0
24 Mar 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model
  Aggregations
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations
F. Lin
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
FedML
37
109
0
18 Mar 2021
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
77
110
0
04 Jan 2021
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
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
1