CFP summary
MLSys 2026 is the ninth annual Conference on Machine Learning and Systems, a major venue at the intersection of machine learning and systems. The conference highlights research that advances the infrastructure, algorithms, and tools needed to train, deploy, optimize, and evaluate modern ML workloads. The 2026 edition in Bellevue continues MLSys’s strong emphasis on bridging ML methods with systems design, hardware, software, and operational concerns.
Topics
Efficient training and inference for machine learning; LLM training, fine-tuning, and inference; compound AI systems; distributed and federated learning; privacy and security in ML systems; scheduling and resource management; testing and debugging of ML systems; fairness and explainability with systems implications; data preparation pipelines; programming models, compilers, visualization tools, specialized hardware, and benchmarks for ML systems.