distributed learning

Preserved central model for faster bidirectional compression in distributed settings NeurIPS 2021 Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo) AAAI 2021 Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law AAAI 2021 Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning NeurIPS 2021 SGD with low-dimensional gradients with applications to private and distributed learning UAI 2021 Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021 Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021 STL-SGD: Speeding Up Local SGD with Stagewise Communication Period AAAI 2021 TAG: Gradient Attack on Transformer-based Language Models EMNLP 2021 Test-time Collective Prediction NeurIPS 2021 The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021 Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021 WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition CVPR 2021 A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020 Adaptive Gradient Quantization for Data-Parallel SGD NeurIPS 2020 A Decentralized Parallel Algorithm for Training Generative Adversarial Nets NeurIPS 2020 A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning AAAI 2020 A Double Residual Compression Algorithm for Efficient Distributed Learning AISTATS 2020 A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NeurIPS 2020 Assisted Learning: A Framework for Multi-Organization Learning NeurIPS 2020 AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning NeurIPS 2020 Breaking the Communication-Privacy-Accuracy Trilemma NeurIPS 2020 Coded Sequential Matrix Multiplication For Straggler Mitigation NeurIPS 2020 Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls AISTATS 2020 Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks ICML 2020