distributed computing

Fractal: Fault-Tolerant Shell-Script Distribution NSDI 2026 Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference ICLR 2025 HD-PiSSA: High-Rank Distributed Orthogonal Adaptation EMNLP 2025 Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping ICML 2025 ml4xcube: Machine Learning Toolkits for Earth System Data Cubes AAAI 2025 Understanding Stragglers in Large Model Training Using What-if Analysis OSDI 2025 An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs AAAI 2024 Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework NeurIPS 2024 Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding ECCV 2024 DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models CVPR 2024 DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024 FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 2024 Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024 Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks AAAI 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NeurIPS 2024 Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems EMNLP 2024 A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings NeurIPS 2023 Applied Online Algorithms with Heterogeneous Predictors ICML 2023 DiSh: Dynamic Shell-Script Distribution NSDI 2023 Distributed Bundle Adjustment with Block-Based Sparse Matrix Compression for Super Large Scale Datasets ICCV 2023 Merlion: End-to-End Machine Learning for Time Series JMLR 2023 Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023 Scaling Up Models and Data with t5x and seqio JMLR 2023 Sequential Gradient Coding For Straggler Mitigation ICLR 2023 Unlocking the Heterogeneous Landscape of Big Data NLP with DUUI EMNLP 2023