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Distributed Learning

1,135 papers

Papers per year

6
20
109
93
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Papers

Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization AISTATS 2021
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021
Local SGD: Unified Theory and New Efficient Methods AISTATS 2021
LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads AISTATS 2021
Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates AISTATS 2021
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! AISTATS 2021
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication COLT 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling CVPR 2021
Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021
Model-Contrastive Federated Learning CVPR 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021
Accelerating Gossip SGD with Periodic Global Averaging ICML 2021
Newton Method over Networks is Fast up to the Statistical Precision ICML 2021
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message ICML 2021
MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models ICML 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021
Consensus Control for Decentralized Deep Learning ICML 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models ICML 2021