Daniel Ramage

According to our database1, Daniel Ramage authored at least 42 papers between 2002 and 2024.

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Bibliography

2024
Air Gap: Protecting Privacy-Conscious Conversational Agents.
CoRR, 2024

Confidential Federated Computations.
CoRR, 2024

Prompt Public Large Language Models to Synthesize Data for Private On-device Applications.
CoRR, 2024

2023
Private Federated Learning in Gboard.
CoRR, 2023

2022
Federated learning and privacy.
Commun. ACM, 2022

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021
Federated Learning and Privacy: Building privacy-preserving systems for machine learning and data science on decentralized data.
ACM Queue, 2021

Advances and Open Problems in Federated Learning.
Found. Trends Mach. Learn., 2021

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Federated Learning.
CoRR, 2021

2020
Mapping Three Decades of Intellectual Change in Academia.
CoRR, 2020

Context Aware Local Differential Privacy.
Proceedings of the 37th International Conference on Machine Learning, 2020

Generative Models for Effective ML on Private, Decentralized Datasets.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Advances and Open Problems in Federated Learning.
CoRR, 2019

Federated Evaluation of On-device Personalization.
CoRR, 2019

Towards Federated Learning at Scale: System Design.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

2018
Applied Federated Learning: Improving Google Keyboard Query Suggestions.
CoRR, 2018

Federated Learning for Mobile Keyboard Prediction.
CoRR, 2018

Learning Differentially Private Recurrent Language Models.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Practical Secure Aggregation for Privacy Preserving Machine Learning.
IACR Cryptol. ePrint Arch., 2017

Learning Differentially Private Language Models Without Losing Accuracy.
CoRR, 2017

Communication-Efficient Learning of Deep Networks from Decentralized Data.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Federated Learning of Deep Networks using Model Averaging.
CoRR, 2016

Federated Optimization: Distributed Machine Learning for On-Device Intelligence.
CoRR, 2016

Practical Secure Aggregation for Federated Learning on User-Held Data.
CoRR, 2016

Discrete Distribution Estimation under Local Privacy.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Federated Optimization: Distributed Optimization Beyond the Datacenter.
CoRR, 2015

2012
Interpretation and trust: designing model-driven visualizations for text analysis.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2011
Studying people, organizations, and the web with statistical text models.
PhD thesis, 2011

#TwitterSearch: a comparison of microblog search and web search.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model.
Proceedings of the 5th ACL Workshop on Language Technology for Cultural Heritage, 2011

Partially labeled topic models for interpretable text mining.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Characterizing Microblogs with Topic Models.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

2009
Clustering the tagged web.
Proceedings of the Second International Conference on Web Search and Web Data Mining, 2009

WikiWalk: Random walks on Wikipedia for Semantic Relatedness.
Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, 2009

Random Walks for Text Semantic Similarity.
Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, 2009

Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008
Social tag prediction.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2007
RA: ResearchAssistant for the computational sciences.
Proceedings of the Workshop on Experimental Computer Science, 2007

Lexical Semantic Relatedness with Random Graph Walks.
Proceedings of the EMNLP-CoNLL 2007, 2007

Learning Alignments and Leveraging Natural Logic.
Proceedings of the ACL-PASCAL@ACL 2007 Workshop on Textual Entailment and Paraphrasing, 2007

Robust Graph Alignment Methods for Textual Inference and Machine Reading.
Proceedings of the Machine Reading, 2007

2002
Developing Legible Visualizations for Online Social Spaces.
Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS-35 2002), 2002


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