Federated Learning

A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NeurIPS 2020 Assisted Learning: A Framework for Multi-Organization Learning NeurIPS 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NeurIPS 2020 Distributed Kernel Ridge Regression with Communications JMLR 2020 Distributionally Robust Federated Averaging NeurIPS 2020 Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble EMNLP 2020 Ensemble Distillation for Robust Model Fusion in Federated Learning NeurIPS 2020 FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction EMNLP 2020 Federated Accelerated Stochastic Gradient Descent NeurIPS 2020 Federated Bayesian Optimization via Thompson Sampling NeurIPS 2020 Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020 Federated Learning with Only Positive Labels ICML 2020 Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020 Federated Principal Component Analysis NeurIPS 2020 FedSplit: an algorithmic framework for fast federated optimization NeurIPS 2020 FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020 FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020 GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NeurIPS 2020 InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020 Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 Moniqua: Modulo Quantized Communication in Decentralized SGD ICML 2020 Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020 Orchard: Differentially Private Analytics at Scale OSDI 2020 Practical Federated Gradient Boosting Decision Trees AAAI 2020