Short Courses of SBRC 2026

Authors

Leobino Nascimento Sampaio (ed), UFBA; Allan Edgard Silva Freitas (ed), IFBA; Anelise Munaretto (ed), UTFPR; Igor Monteiro Moraes (ed), UFF; Rodrigo Brandão Mansilha (ed), UNIPAMPA

Keywords:

Federated Learning, Intelligent Agents for Network Configuration, Quantum-Safe Networks, Digital Twins

Synopsis

This book presents the selection of short courses from the 44th edition of the Brazilian Symposium on Computer Networks and Distributed Systems (SBRC) 2026, held in Praia do Forte, from May 25 to 29, 2026. SBRC is the most important forum for the research and development community in computer networks and distributed systems in Brazil. Among the main activities of SBRC are the short courses, which provide the community with opportunities to update their knowledge on topics that are usually not covered in formal curricula or that attract great interest from academics and professionals. The recognized quality of the texts produced by the short course authors has elevated these works to the status of reference documents for academic research and complementary education for students, researchers, and professionals.

In 2026, 15 short course proposals were submitted, an expressive number that demonstrates the importance of this event within the national research landscape. Of these, 5 were selected for publication and presentation, resulting in an acceptance rate of approximately 33%. The short course evaluation committee consisted of 19 renowned researchers responsible for preparing the reviews. Each proposal received at least 3 reviews, totaling 45 evaluations.

This book brings together 5 chapters written by the authors of the accepted proposals. Chapter 1 provides an in-depth discussion of security in Federated Learning, exploring and practically simulating vulnerabilities, poisoning attacks, and modern defense strategies. Chapter 2 explores the architecture and challenges of collaborative learning in vehicular environments, presenting networking strategies and new artificial intelligence paradigms to address latency, mobility, and the scarcity of labeled data. Chapter 3 focuses on the development of intelligent agents for network automation and management, integrating traditional Linux systems administration concepts with advanced language model technologies. Chapter 4 addresses the engineering challenges behind secure networks against the threat of quantum computing, focusing on key management and the practical integration of Quantum Key Distribution (QKD) with existing classical infrastructures. Finally, Chapter 5 introduces the fundamental concepts and architectural challenges of digital twins, demonstrating in practice how to build, connect, and synchronize these virtual and physical entities using the MidDiTS middleware.

As Short Course Chairs, we express our sincere gratitude to the members of the evaluation committee for their voluntary participation and outstanding work throughout the short course evaluation and selection process. We also thank the General Chairs of SBRC 2026, Leobino Nascimento Sampaio and Allan Edgard Silva Freitas, for their availability, continuous support throughout the entire process, and the trust placed in us to coordinate the short courses. Finally, we thank the authors for honoring SBRC with the submission of their proposals and for presenting their short courses.

Chapters

  • 1. Attacks in Federated Learning: Practical Impacts and Mitigation Strategies
    Helio N. Cunha Neto, Carlos Henrique Nunes, Ricardo Lundgren, Raphael Jorge B. Ortolan, Luiz H. S. Ladeira, Ian Vilar Bastos, Evandro L. C. Macedo, Rafaela C. Brum, Alexandre Sztajnberg, Diogo M. F. Mattos
  • 2. Vehicular Federated Learning: From Theory to Practice
    Lucas Airam Castro de Souza, Guilherme Araujo Thomaz, Mateus da Silva Gilbert, Vinicius de Oliveira Avena, Felipe Gomes Táparo, João Victor Dias Sobrinho, Fernando Dias de Mello Silva, Nadjib Achir, Miguel Elias Mitre Campista, Luís Henrique Maciel Kosmalski Costa
  • 3. Intelligent Agents for Computer Network Configuration: From Theory to Practice with LLMs, SLMs, RAG, and Agentic AI
    William L. Reiznautt, Eduardo Cerqueira, Diogo M. da Cunha, Leandro A. Villas, Antonio A. F. Loureiro, Denis Rosário, Allan M. de Souza, Nelson L. S. da Fonseca
  • 4. Key Management in Quantum-Safe Networks: QKD, KMS, and Integration with Classical Systems
    Adriano Maia, Isys Sant’Anna, Marcus Freire, Thiago Mello, Anderson Tomkelski, Gabriel Caldas, João Souza, Ricardo Parizotto, Bruno Santos, Maycon Peixoto
  • 5. Building Digital Twin Systems: A Middleware-Based Approach
    André Almeida, Lucas Pereira, Thais Batista, Everton Cavalcante, Flavia C. Delicato, Rebeca Motta

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