Allan M. de Souza

About Allan M. de Souza

Allan M. de Souza, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at Universidade Estadual de Campinas, specializes in the field of Machine Learning, Distributed Systems, Computer Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adaptive client selection with personalization for communication efficient Federated Learning

Improving Fairness and Performance in Resource Usage for Vehicular Edge Computing

Automatic Extraction of Conversation Flows from Human Dialogues: Understanding Their Impact to Refine NLP Models

Service provisioning in edge-cloud continuum: Emerging applications for mobile devices

FedPredict: Combining Global and Local Parameters in the Prediction Step of Federated Learning

Resource Aware Client Selection for Federated Learning in IoT Scenarios

Mobility and Deadline-Aware Task Scheduling Mechanism for Vehicular Edge Computing

NeuralMatch: Identificando a Similaridade de Clientes baseado em Modelos no Aprendizado Federado

Allan M. de Souza Information

University

Position

PhD student at

Citations(all)

1115

Citations(since 2020)

922

Cited By

553

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

24

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Allan M. de Souza Skills & Research Interests

Machine Learning

Distributed Systems

Computer Networks

Top articles of Allan M. de Souza

Adaptive client selection with personalization for communication efficient Federated Learning

Ad Hoc Networks

2024/2/29

Improving Fairness and Performance in Resource Usage for Vehicular Edge Computing

2023/10/10

Automatic Extraction of Conversation Flows from Human Dialogues: Understanding Their Impact to Refine NLP Models

SN Computer Science

2023/9/14

Service provisioning in edge-cloud continuum: Emerging applications for mobile devices

2023/6/20

FedPredict: Combining Global and Local Parameters in the Prediction Step of Federated Learning

2023/6/19

Resource Aware Client Selection for Federated Learning in IoT Scenarios

2023/6/19

Mobility and Deadline-Aware Task Scheduling Mechanism for Vehicular Edge Computing

IEEE Transactions on Intelligent Transportation Systems

2023/5/31

NeuralMatch: Identificando a Similaridade de Clientes baseado em Modelos no Aprendizado Federado

2023/5/22

Dispositivos, Eu Escolho Vocês: Seleção de Clientes Adaptativa para Comunicação Eficiente em Aprendizado Federado

2023/5/22

Compressed client selection for efficient communication in federated learning

2023/1/8

EntropicFL: Efficient Federated Learning via Data Entropy and Model Divergence

2023/12/4

CCSF: Clustered Client Selection Framework for Federated Learning in non-IID Data

2023/12/4

Mobility-aware Vehicular Cloud formation mechanism for Vehicular Edge Computing environments

Ad Hoc Networks

2023/12/1

A Novel Short-term Vehicle Location Prediction using Temporal Graph Neural Networks

2022/11/30

Efficient Pareto Optimality-based Task Scheduling for Vehicular Edge Computing

2022/9/25

Flexe: Investigating federated learning in connected autonomous vehicle simulations

2022/9/26

Towards a Personalized Multi-objective Vehicular Traffic Re-routing System

2021

Escalonamento de tarefas ciente de contexto para computação de borda veicular

2022/5/23

Nemesis: Mecanismo para formação de nuvens veiculares baseado em previsão de mobilidade

2022/5/23

MCCD: Generating Human Natural Language Conversational Datasets.

2022

See List of Professors in Allan M. de Souza University(Universidade Estadual de Campinas)

Co-Authors

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