Apple Workshop on Privacy-Preserving Machine Learning: Matrix Factorization DP-FTRL outperforms DP-SGD for cross-device federated learning and centralized training
AuthorsBrand McMahan (Google)
Apple Workshop on Privacy-Preserving Machine Learning: Matrix Factorization DP-FTRL outperforms DP-SGD for cross-device federated learning and centralized training
AuthorsBrand McMahan (Google)
Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live iOS Apps
November 2, 2026research area Human-Computer Interaction, research area Methods and Algorithms
While frontier vision-language models demonstrate strong capabilities in user interface (UI) navigation, their high inference costs prohibit everyday use. Conversely, smaller models trained via supervised fine-tuning (SFT) or offline reinforcement learning often memorize static trajectories, leading to brittle execution and an inability to recover from errors. To address these limitations, we propose a novel online reinforcement learning…
GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior
October 26, 2026research area Computer Visionconference Asian Conference on Computer Vision (ACCV)
We present GHARP (Real-time Gaussian Head Animation from Large-scale Reconstruction Prior), a method that animates 3D human heads in real time from a few input images of a subject and a driving expression signal. We decouple the problem into an identity stage that builds a representation of the subject’s geometry and appearance offline, and an animation stage that predicts expression-dependent residuals on top of it at runtime. This separation…