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2306.09750
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Fedstellar: A Platform for Decentralized Federated Learning
16 June 2023
Enrique Tomás Martínez Beltrán
Á. Gómez
Chao Feng
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
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Papers citing
"Fedstellar: A Platform for Decentralized Federated Learning"
15 / 15 papers shown
Title
Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices
Chao Feng
Nicolas Huber
Alberto Huertas Celdrán
Gérome Bovet
Burkhard Stiller
FedML
51
0
0
12 May 2025
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Amir Ali-Pour
Sadra Bekrani
Laya Samizadeh
Julien Gascon-Samson
FedML
42
0
0
22 Apr 2025
ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes
Pedro Miguel Sánchez Sánchez
Enrique Tomás Martínez Beltrán
Miguel Fernández Llamas
Gérome Bovet
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
87
0
0
15 Dec 2024
Blockchain Meets LLMs: A Living Survey on Bidirectional Integration
Jianghao Gong
Peiqi Yan
Yue Zhang
Hongli An
Logan Liu
77
0
0
25 Nov 2024
Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data
Chao Feng
Alberto Huertas Celdrán
Zien Zeng
Zi Ye
Jan von der Assen
Gérome Bovet
Burkhard Stiller
AAML
38
0
0
28 Sep 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
Chao Feng
Alberto Huertas Celdrán
Jan von der Assen
Enrique Tomás Martínez Beltrán
Gérome Bovet
Burkhard Stiller
OOD
AAML
54
8
0
11 Jul 2024
Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning
Siddhartha Bhattacharya
Daniel Helo
Joshua Siegel
57
1
0
06 Jul 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
44
1
0
16 May 2024
Voyager: MTD-Based Aggregation Protocol for Mitigating Poisoning Attacks on DFL
Chao Feng
Alberto Huertas Celdrán
Michael Vuong
Gérome Bovet
Burkhard Stiller
AAML
24
1
0
12 Oct 2023
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning
Chao Feng
Alberto Huertas Celdrán
Janosch Baltensperger
Enrique Tomás Martínez Beltrán
Gérome Bovet
Burkhard Stiller
41
6
0
12 Oct 2023
TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning
Á. Gómez
Enrique Tomás Martínez Beltrán
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
21
2
0
07 Aug 2023
Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense
Enrique Tomás Martínez Beltrán
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
Manuel Gil Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
AAML
23
7
0
21 Jul 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
40
223
0
15 Nov 2022
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
566
0
27 Jul 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,599
0
17 Apr 2017
1