communication efficient

Otil: Accelerating Diffusion Model Inference via Communication-Efficient Multi-GPU Parallelism CVPR 2026 Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold ICML 2025 Byzantine Resilient and Fast Federated Few-Shot Learning ICML 2024 Communication Bounds for the Distributed Experts Problem NeurIPS 2024 Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NeurIPS 2024 FedMBridge: Bridgeable Multimodal Federated Learning ICML 2024 Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NeurIPS 2024 FeDXL: Provable Federated Learning for Deep X-Risk Optimization ICML 2023 Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022 Distributed Sparse Multicategory Discriminant Analysis AISTATS 2022 FedNL: Making Newton-Type Methods Applicable to Federated Learning ICML 2022 Optimal Algorithms for Decentralized Stochastic Variational Inequalities NeurIPS 2022 Solving Multi-Arm Bandit Using a Few Bits of Communication AISTATS 2022 A Stochastic Newton Algorithm for Distributed Convex Optimization NeurIPS 2021 Distributed Ranking with Communications: Approximation Analysis and Applications AAAI 2021 Distributed Second Order Methods with Fast Rates and Compressed Communication ICML 2021 Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021 DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NeurIPS 2019 Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019 Communication Efficient Parallel Algorithms for Optimization on Manifolds NeurIPS 2018 DUAL-LOCO: Distributing Statistical Estimation Using Random Projections AISTATS 2016 Hashing for Distributed Data ICML 2015 Communication Efficient Distributed Machine Learning with the Parameter Server NeurIPS 2014 Communication-Efficient Algorithms for Statistical Optimization NeurIPS 2012