Federated Learning

MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021 Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021 Membership Inference Attacks on Deep Regression Models for Neuroimaging MIDL 2021 Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021 Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices NeurIPS 2021 (Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021 Near Optimal Distributed Learning of Halfspaces with Two Parties COLT 2021 No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NeurIPS 2021 One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021 One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021 On Large-Cohort Training for Federated Learning NeurIPS 2021 On the Convergence of Communication-Efficient Local SGD for Federated Learning AAAI 2021 Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021 Optimality and Stability in Federated Learning: A Game-theoretic Approach NeurIPS 2021 Optimal query complexity for private sequential learning against eavesdropping AISTATS 2021 Parameterized Knowledge Transfer for Personalized Federated Learning NeurIPS 2021 PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization NeurIPS 2021 Personalized Cross-Silo Federated Learning on Non-IID Data AAAI 2021 Personalized Federated Learning using Hypernetworks ICML 2021 Personalized Federated Learning with First Order Model Optimization ICLR 2021 Personalized Federated Learning With Gaussian Processes NeurIPS 2021 PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients ACML 2021 Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021 Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021 Preserved central model for faster bidirectional compression in distributed settings NeurIPS 2021