straggler mitigation

Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training NSDI 2026 Understanding Stragglers in Large Model Training Using What-if Analysis OSDI 2025 Leveraging partial stragglers within gradient coding NeurIPS 2024 FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models ICML 2023 Sequential Gradient Coding For Straggler Mitigation ICLR 2023 ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems AAAI 2022 Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent ICML 2022 Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication ICML 2021 Coded-InvNet for Resilient Prediction Serving Systems ICML 2021 Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NeurIPS 2021 Coded Sequential Matrix Multiplication For Straggler Mitigation NeurIPS 2020 ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION ICLR 2019 Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication ICML 2019 Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy AISTATS 2019 Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019 Robust and Communication-Efficient Collaborative Learning NeurIPS 2019 Coded Sparse Matrix Multiplication ICML 2018 Gradient Coding from Cyclic MDS Codes and Expander Graphs ICML 2018 Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD AISTATS 2018 Coded Distributed Computing for Inverse Problems NeurIPS 2017 Federated Multi-Task Learning NeurIPS 2017 Gradient Coding: Avoiding Stragglers in Distributed Learning ICML 2017 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017 Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016 Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NeurIPS 2016