Manuel Fernández Veiga

Associate professor

Universidade de Vigo

Spain

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Manuel Fernández Veiga is an Associate Professor at the University of Vigo in Spain. His research interests include privacy-aware computing, decentralized training for machine learning, and enhancing security measures in cyber transactions. Recent publications highlight his work on various topics, including blockchain solutions, machine learning applications, and network optimization in 5G environments.

Articles (19)

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2020

Collaborators (11)

Ana Fernández Vilas

Full Professor

Universidade de Vigo

SPAIN

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Pedro Pinto

Assistant Professor

Polytechnic Institute of Porto

PORTUGAL

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Rebeca P. Díaz Redondo

Full Professor

Universidade de Vigo

SPAIN

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Miguel Rodríguez Pérez

Associate Professor

Universidade de Vigo

SPAIN

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David Larrabeiti

Universidad Carlos III de Madrid

SPAIN

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Sergio Herrería-Alonso

Universidade de Vigo

SPAIN

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Francisco Javier Nóvoa

Universidade da Coruña, Centro de Investigación CITIC, Laboratorio RNASA

SPAIN

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Luis J. de la Cruz Llopis

Associate Professor

Universitat Politècnica de Catalunya

SPAIN

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Carlos Dafonte

Profesor Titular

Universidade da Coruña

SPAIN

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José Alberto Hernández

Universidad Carlos III de Madrid

SPAIN

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Silvestre Malta

Professor Asistente Convidado

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

PORTUGAL

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Manuel Fernández Veiga

Research Interests

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Articles (19)

Privacy-aware Berrut Approximated Coded Computing for Federated Learning

A blockchain solution for decentralized training in machine learning for IoT

Improving Remote Access Trojans Detection: A Comprehensive Approach Using Machine Learning and Hybrid Feature Engineering

Towards efficient compression and communication for prototype-based decentralized learning

Optimizing 5G network slicing with DRL: Balancing eMBB, URLLC, and mMTC with OMA, NOMA, and RSMA

Realistic Urban Traffic Generator Using Decentralized Federated Learning for the SUMO Simulator

A privacy-preserving key transmission protocol to distribute QRNG keys using zk-SNARKs

Simulation of Fidelity in Entanglement-Based Networks with Repeater Chains

Secure Internet Financial Transactions: A Framework Integrating Multi-Factor Authentication and Machine Learning

Source-Coded Multicast With Single and Aggregated Sources for Efficient Content Delivery

Irregular repetition slotted Aloha with multiuser detection: A density evolution analysis

Efficient Generators of the Generalized Fractional Gaussian Noise and Cauchy Processes

Study of Coded ALOHA with Multi-User Detection under Heavy-Tailed and Correlated Arrivals

Using Reinforcement Learning to Reduce Energy Consumption of Ultra-Dense Networks With 5G Use Cases Requirements

Distributed Energy Efficient Channel Allocation in Underlay Multicast D2D Communications

Neural Collaborative Filtering with Ontologies for Integrated Recommendation Systems

Non-Orthogonal Multiple Access for Unicast and Multicast D2D: Channel Assignment, Power Allocation and Energy Efficiency

Improving Recommendations for Online Retail Markets Based on Ontology Evolution

Decentralized Coordination of Converged Tactile Internet and MEC Services in H-CRAN Fiber Wireless Networks

Collaborators (11)

Ana Fernández Vilas

Pedro Pinto

Rebeca P. Díaz Redondo

Miguel Rodríguez Pérez

David Larrabeiti

Sergio Herrería-Alonso

Francisco Javier Nóvoa

Luis J. de la Cruz Llopis

Carlos Dafonte

José Alberto Hernández

Silvestre Malta

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