MLSys 2025

Description

Highlights

Fosters collaboration between industry and academia in machine learning and systems. Discusses topics such as efficient model training, ML applications, and ethical implications. Provides a platform for researchers to present their findings and promote AI advancements. Covers areas like large language model training, distributed and federated learning, and ML for systems. Includes sessions on privacy, security, fairness, interpretability, and explainability for ML applications. Features specialized hardware for machine learning and hardware-efficient ML methods. Offers a Young Professionals Symposium and various sponsorship opportunities. Provides hotel blocks at the Hilton Santa Clara with group pricing. Addresses societal and ethical implications of AI systems. Serves as a platform for education and training in AI and systems research.