Federated Learning

Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018 Effective Crowdsourcing for a New Type of Summarization Task NAACL 2018 The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018 Collaborative PAC Learning NeurIPS 2017 Crowd Learning: Improving Online Decision Making Using Crowdsourced Data IJCAI 2017 Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017 Distributed Semi-supervised Learning with Kernel Ridge Regression JMLR 2017 Efficient Distributed Learning with Sparsity ICML 2017 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Linear and Parallel Learning of Markov Random Fields ICML 2014 A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012 Distributed Learning, Communication Complexity and Privacy COLT 2012 Distributed Probabilistic Learning for Camera Networks with Missing Data NeurIPS 2012 Protocols for Learning Classifiers on Distributed Data AISTATS 2012 Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers NeurIPS 2010 Asynchronous Distributed Learning of Topic Models NeurIPS 2008 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007