← Optimization & Theory
Machine Learning › Optimization & Theory ›

Distributed Learning

1100 directly classified papers

Papers per year

Papers

Generating QM1B with PySCF$_{\text{IPU}}$ NIPS 2023
zPROBE: Zero Peek Robustness Checks for Federated Learning ICCV 2023
On the Benefits of Learning to Route in Mixture-of-Experts Models EMNLP 2023
Communication-Efficient Collaborative Best Arm Identification AAAI 2023
Beyond Spectral Gap: The Role of the Topology in Decentralized Learning JMLR 2023
Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NIPS 2023
Scaling Up Models and Data with t5x and seqio JMLR 2023
Distributed Inference and Fine-tuning of Large Language Models Over The Internet NIPS 2023
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving OSDI 2023
Distributed Statistical Inference under Heterogeneity JMLR 2023
Multi-Consensus Decentralized Accelerated Gradient Descent JMLR 2023
Distributed Personalized Empirical Risk Minimization NIPS 2023
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD JMLR 2023
On Biased Compression for Distributed Learning JMLR 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023
Least Squares Model Averaging for Distributed Data JMLR 2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning ICML 2023
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning NIPS 2023
Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023
FedLab: A Flexible Federated Learning Framework JMLR 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023
Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023
$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning NIPS 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence NIPS 2023