Showing 1–20 of 23 results
/ Date/ Name
Apr 16, 2024Confidential Federated ComputationsNov 8, 2018Federated Learning for Mobile Keyboard PredictionOct 31, 2019Context-Aware Local Differential PrivacyAug 23, 2021Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated LearningOct 22, 2019Federated Evaluation of On-device PersonalizationOct 18, 2017Learning Differentially Private Recurrent Language ModelsFeb 17, 2016Communication-Efficient Learning of Deep Networks from Decentralized DataNov 11, 2015Federated Optimization:Distributed Optimization Beyond the DatacenterNov 15, 2019Generative Models for Effective ML on Private, Decentralized DatasetsFeb 24, 2016Discrete Distribution Estimation under Local PrivacyOct 11, 2024Federated Learning in Practice: Reflections and ProjectionsDec 10, 2019Advances and Open Problems in Federated LearningMay 8, 2024AirGapAgent: Protecting Privacy-Conscious Conversational AgentsMay 24, 2025Synthesizing and Adapting Error Correction Data for Mobile Large Language Model ApplicationsOct 24, 2025Toward provably private analytics and insights into GenAI useFeb 4, 2019Towards Federated Learning at Scale: System DesignApr 2, 2020Mapping Three Decades of Intellectual Change in AcademiaDec 7, 2018Applied Federated Learning: Improving Google Keyboard Query SuggestionsJun 26, 2023Private Federated Learning in GboardNov 14, 2016Practical Secure Aggregation for Federated Learning on User-Held Data