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Distributed Learning

1,202 papers

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Papers

Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices NeurIPS 2021 Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets IJCAI 2021 Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021 Newton Method over Networks is Fast up to the Statistical Precision ICML 2021 NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization JMLR 2021 One More Step Towards Reality: Cooperative Bandits with Imperfect Communication NeurIPS 2021 One-Round Communication Efficient Distributed M-Estimation AISTATS 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 Optimal Complexity in Decentralized Training ICML 2021 Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021 P3: Distributed Deep Graph Learning at Scale OSDI 2021 Parallel and Efficient Hierarchical k-Median Clustering NeurIPS 2021 PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models ICML 2021 Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning OSDI 2021 Preserved central model for faster bidirectional compression in distributed settings NeurIPS 2021 Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party Computation Interspeech 2021 Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo) AAAI 2021 Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data ICML 2021 RelaySum for Decentralized Deep Learning on Heterogeneous Data NeurIPS 2021 Rethinking gradient sparsification as total error minimization NeurIPS 2021 Revealing and Protecting Labels in Distributed Training NeurIPS 2021 RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem NeurIPS 2021 Scaling Distributed Machine Learning with In-Network Aggregation NSDI 2021