Federated Learning

Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NeurIPS 2020 Empirical Studies of Institutional Federated Learning For Natural Language Processing EMNLP 2020 Fair Resource Allocation in Federated Learning ICLR 2020 FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020 FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction EMNLP 2020 Federated Adversarial Domain Adaptation ICLR 2020 Federated Bayesian Optimization via Thompson Sampling NeurIPS 2020 Federated Heavy Hitters Discovery with Differential Privacy AISTATS 2020 Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020 Federated Learning for Spoken Language Understanding COLING 2020 Federated Learning for Vision-and-Language Grounding Problems AAAI 2020 Federated Learning with Matched Averaging ICLR 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 FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization AISTATS 2020 FedSplit: an algorithmic framework for fast federated optimization NeurIPS 2020 FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020 Feedback-Based Self-Learning in Large-Scale Conversational AI Agents AAAI 2020 FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020 From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020 GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020 Generative Models for Effective ML on Private, Decentralized Datasets ICLR 2020 Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge NeurIPS 2020 How to Solve Fair k-Center in Massive Data Models ICML 2020