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The author presents Agro, an open-source cross-platform tool for running AI models locally on mobile and desktop devices, and discusses challenges with hardware constraints for on-device agents while seeking community feedback.
This paper presents a privacy-preserving federated recommendation system for mobile devices, using a two-stage pipeline with candidate generation and ranking, implemented via Kotlin Multiplatform on Android/iOS.