3rd Symposium on Networking and Artificial Intelligence (SNAI 2026)
Dec 07 - Dec 09, 2026
Universitat Politècnica de Catalunya, Barcelona, Spain
About the Conference
The 3rd Symposium on Networking and Artificial Intelligence (SNAI 2026) will be held in Barcelona, Spain, on 7-9 December 2026, hosted by Universitat Politècnica de Catalunya.
SNAI is the venue for research at the two-way intersection of computer networking and artificial intelligence. On one side, AI for networking: learned congestion control, traffic engineering, anomaly detection, and intent-based and self-driving networks. On the other, networking for AI: collective communication, RDMA and lossless fabrics, distributed training topologies, and inference serving at the edge.
The 2026 edition spans seven tracks and adds a dedicated track on LLM agents for network operations. We invite full papers (8 pages) and short papers (4 pages) in two-column IEEE format. All submissions are double-blind and receive at least three reviews.
Submission Guidelines
Papers must be submitted as PDF in the two-column IEEE conference format. Full papers are limited to 8 pages of technical content plus unlimited pages of references; short papers are limited to 4 pages plus references.
SNAI uses double-blind review. Submissions must not reveal author names or affiliations, and self-citations must be phrased in the third person. Papers that are not properly anonymized may be desk-rejected.
Submitted work must be original and must not be under review at another venue at the time of submission. Authors are encouraged to submit artifacts (code, datasets, measurement traces) to support reproducibility.
Review Guidelines
Evaluate each submission on originality, technical soundness, experimental rigour, clarity of presentation, and relevance to the networking/AI intersection that defines SNAI.
Every paper receives at least three independent reviews. Please justify your score with specific, actionable comments the authors can respond to, and flag any reproducibility or ethical concerns in the confidential comments to the chairs.
Do not attempt to deanonymize authors, and declare any conflict of interest to the program chairs immediately.
Tracks
AI-Native 6G and Next-Generation Networks
Learning-driven radio access, network slicing, and AI-native architectures for 6G and beyond.
LLM Agents for Network Operations
Large language model agents for configuration, troubleshooting, incident response, and operator tooling.
Edge and In-Network Intelligence
Inference at the edge and inside the data plane, model partitioning, and latency-aware serving.
Distributed and Federated Learning over Networks
Communication-efficient, privacy-preserving training across heterogeneous and bandwidth-constrained links.
Machine Learning for Network Security
Intrusion and anomaly detection, encrypted traffic analysis, and adversarial robustness.
Networking Systems for Large-Scale AI Training
Collective communication, RDMA and lossless fabrics, topology design, and congestion management for training clusters.
Datasets, Benchmarks and Reproducibility
Open datasets, measurement traces, evaluation methodology, and artifacts for the networking/AI community.
Similar Conferences
Other open CFPs on related topics.
Important Dates
Submission Closed
The paper submission deadline has passed. Thank you for your interest.
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