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Federated Learning with Cooperating Devices: A Consensus Approach for
  Massive IoT Networks

Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks

27 December 2019
S. Savazzi
M. Nicoli
V. Rampa
    FedML
ArXivPDFHTML

Papers citing "Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks"

33 / 33 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
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
D. Domini
G. Aguzzi
L. Esterle
Mirko Viroli
FedML
78
0
0
12 Feb 2025
Robustness of Decentralised Learning to Nodes and Data Disruption
Robustness of Decentralised Learning to Nodes and Data Disruption
Luigi Palmieri
C. Boldrini
Lorenzo Valerio
A. Passarella
M. Conti
János Kertész
39
1
0
03 May 2024
Impact of network topology on the performance of Decentralized Federated
  Learning
Impact of network topology on the performance of Decentralized Federated Learning
Luigi Palmieri
C. Boldrini
Lorenzo Valerio
A. Passarella
M. Conti
39
5
0
28 Feb 2024
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated
  Learning
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
Zhangchen Xu
Fengqing Jiang
Luyao Niu
Jinyuan Jia
Radha Poovendran
26
0
0
10 Jan 2024
Peer-to-Peer Learning + Consensus with Non-IID Data
Peer-to-Peer Learning + Consensus with Non-IID Data
Srinivasa Pranav
José M. F. Moura
8
3
0
21 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
30
7
0
07 Dec 2023
The effect of network topologies on fully decentralized learning: a
  preliminary investigation
The effect of network topologies on fully decentralized learning: a preliminary investigation
Luigi Palmieri
Lorenzo Valerio
C. Boldrini
A. Passarella
27
8
0
29 Jul 2023
Decentralized Online Federated G-Network Learning for Lightweight
  Intrusion Detection
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection
Mert Nakıp
Baran Can Gül
Erol Gelenbe
24
8
0
22 Jun 2023
CoDeC: Communication-Efficient Decentralized Continual Learning
CoDeC: Communication-Efficient Decentralized Continual Learning
Sakshi Choudhary
Sai Aparna Aketi
Gobinda Saha
Kaushik Roy
CLL
50
3
0
27 Mar 2023
Proof of Swarm Based Ensemble Learning for Federated Learning
  Applications
Proof of Swarm Based Ensemble Learning for Federated Learning Applications
Ali Raza
K. Tran
L. Koehl
Shujun Li
FedML
16
2
0
28 Dec 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
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
Confederated Learning: Federated Learning with Decentralized Edge
  Servers
Confederated Learning: Federated Learning with Decentralized Edge Servers
Bin Wang
Jun Fang
Hongbin Li
Xiaojun Yuan
Qing Ling
FedML
26
23
0
30 May 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
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
Asynchronous Decentralized Federated Learning for Collaborative Fault
  Diagnosis of PV Stations
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
Qi Liu
Bo-Jun Yang
Zhaojian Wang
Dafeng Zhu
Xinyi Wang
Kai Ma
Xinping Guan
39
38
0
28 Feb 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
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with
  Communication Compression
BEER: Fast O(1/T)O(1/T)O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao
Boyue Li
Zhize Li
Peter Richtárik
Yuejie Chi
29
48
0
31 Jan 2022
p2pGNN: A Decentralized Graph Neural Network for Node Classification in
  Peer-to-Peer Networks
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
Emmanouil Krasanakis
Symeon Papadopoulos
I. Kompatsiaris
GNN
16
7
0
29 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
43
416
0
24 Nov 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
The Effect of Training Parameters and Mechanisms on Decentralized
  Federated Learning based on MNIST Dataset
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
Zhuofan Zhang
Mi Zhou
K. Niu
C. Abdallah
FedML
44
1
0
07 Aug 2021
On the Importance of Trust in Next-Generation Networked CPS Systems: An
  AI Perspective
On the Importance of Trust in Next-Generation Networked CPS Systems: An AI Perspective
Anousheh Gholami
Nariman Torkzaban
John S. Baras
43
3
0
16 Apr 2021
Federated Quantum Machine Learning
Federated Quantum Machine Learning
Samuel Yen-Chi Chen
Shinjae Yoo
FedML
AI4CE
19
115
0
22 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
A Framework for Energy and Carbon Footprint Analysis of Distributed and
  Federated Edge Learning
A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning
S. Savazzi
Sanaz Kianoush
V. Rampa
M. Bennis
21
14
0
18 Mar 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms
  and Convergence Analysis
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing
Osvaldo Simeone
Suzhi Bi
45
92
0
29 Jan 2021
Opportunities of Federated Learning in Connected, Cooperative and
  Automated Industrial Systems
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
S. Savazzi
M. Nicoli
M. Bennis
Sanaz Kianoush
Luca Barbieri
FedML
AIFin
AI4CE
40
125
0
09 Jan 2021
Adaptive Federated Learning and Digital Twin for Industrial Internet of
  Things
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things
Wen Sun
S. Lei
Lu Wang
Zhiqiang Liu
Yan Zhang
FedML
AI4CE
32
197
0
25 Oct 2020
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog
  Networks
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
Vaneet Aggarwal
David J. Love
H. Dai
21
91
0
18 Jul 2020
Stochastic Calibration of Radio Interferometers
Stochastic Calibration of Radio Interferometers
S. Yatawatta
14
6
0
02 Mar 2020
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
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