conftrace_

straggler mitigation

22 papers

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Co-occurring keywords

coded computation (9) distributed computing (98) distributed learning (563) gradient descent (1144) matrix multiplication (41) coding theory (9) distributed optimization (275) gradient coding (3) distributed system (96) coded computing (3)

Papers

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