BFT-AI'25: 1st Workshop on Byzantine Fault Tolerance and Artificial Intelligence Systems Co-located with SRDS Porto, Portugal, September 29, 2025 |
| Conference website | https://bft-ai-2025.github.io |
| Submission link | https://easychair.org/conferences/?conf=bftai25 |
| Submission deadline | July 11, 2025 |
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BFT-AI 2025 - 1st Call for Papers
1st Workshop on Byzantine Fault Tolerance and Artificial Intelligence Systems
September 29, 2025, Porto, Portugal
Co-located with the 44th International Symposium on Reliable Distributed Systems (SRDS)
https://bft-ai-2025.github.io/
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=== Important Dates ===
Paper submission: July 4, 2025 (AoE)
Author Notification: July 25, 2025 (AoE)
Camera-ready Deadline: July 31, 2025 (AoE)
Workshop: September 29, 2025
=== About BFT-AI ===
The BFT-AI workshop, co-located with SRDS 2025, aims at bringing together researchers working at the intersection of reliable distributed systems and artificial intelligence, with a dual focus:
Designing AI systems (training or inference) that are resilient to Byzantine faults and adversarial environments.
Leveraging AI-based techniques to detect, diagnose, and mitigate Byzantine behavior in complex distributed infrastructures.
=== Scope ===
The increasing integration of AI and distributed systems — whether in the form of large-scale model training, edge inference, or autonomous multi-agent coordination—raises urgent challenges around reliability, dependability, and system-level trustworthiness. Meanwhile, AI itself offers promising tools for improving fault detection, anomaly response, and predictive resilience in distributed infrastructures.
Byzantine faults are particularly concerning in these settings. Their impact spans corrupted gradients in distributed training, faulty sensor readings in IoT infrastructure, and malicious nodes in edge/federated environments. Addressing Byzantine behavior is not only vital for ensuring robust distributed AI, but also for using AI effectively in monitoring and enhancing the dependability of broader system stacks.
=== Topics ===
We welcome contributions at the intersection of distributed systems and AI, including but not limited to:
- Fault-Tolerant AI Systems
- Byzantine-resilient distributed training and inference
- AI for Fault Tolerance in Systems
- AI-assisted fault detection and mitigation in distributed systems
- Theoretical Foundations including bounds on convergence and correctness under Byzantine adversaries;
- Adversarial and probabilistic models in distributed AI
- Evaluation and Benchmarks
=== Submissions ===
We welcome submissions in English following the IEEE double-column conference style, in two formats:
Short Research Papers (up to 6 pages, including references).
Fast Abstracts (2 pages, excluding references).
The first page must clearly state the submission type.
Reviewing is double-blind peer, evaluating quality, originality, and relevance to BFT and AI. Papers that do not comply with anonymization or formatting guidelines (e.g., page limits) or that have been previously published will be desk-rejected without review.
At least one author of each accepted paper must register and present their work at the workshop. Accepted Research Papers are eligible for inclusion in the SRDS 2025 supplemental proceedings (optional).
Fast Abstracts will not be included in the published proceedings, but will (optionally) be made available at the workshop website.
=== Program Committee ===
Cláudia Brito, INESC TEC
Marco Vieira, UNC Charlotte
Dan Kim, University of Queensland
Pascal Felber, University of Neuchâtel
Miguel Matos, IST Lisbon
Júlio Mendonça, Université du Luxembourg
=== Organising committee ===
Ana Nunes Alonso, INESC TEC & University of Minho
Rachid Guerraoui, EPFL