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Pedro Miguel S\'anchez S\'anchez — most-cited papers & profile · Federated Learning
← authors
·
overview
Pedro Miguel S\'anchez S\'anchez
19
papers ·
94
citations
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Semantic Scholar ↗
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Most-cited papers
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
2022 · 57 citations
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors
2022 · 5 citations
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario
2022 · 4 citations
FederatedTrust: A Solution for Trustworthy Federated Learning
2023 · 4 citations
TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning
2023 · 3 citations
S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning
2025
Federated Learning for Malware Detection in IoT Devices
2021
Robust Federated Learning for execution time-based device model identification under label-flipping attack
2021
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning
2023
ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes
2024
Top co-authors
Alberto Huertas Celdr\'an
· 10
G\'er\^ome Bovet
· 9
Gregorio Mart\'inez P\'erez
· 7
Enrique Tom\'as Mart\'inez Beltr\'an
· 6
Burkhard Stiller
· 3
Chao Feng
· 2
Adrian Lars Benjamin Iten
· 1
and Burkhard Stiller
· 1
\'Angel Luis Perales G\'omez
· 1
Daniel Demeter
· 1
Janosch Baltensperger
· 1
Jos\'e Rafael Buend\'ia Rubio
· 1
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