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distributed learning

563 papers

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Also known as

DL-DCL DML

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) communication efficiency (297) distributed optimization (275) stochastic optimization (1060) decentralized optimization (113) communication complexity (99) distributed training (187) gradient compression (78) gradient descent (1143)

Papers

On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023
Flash: Concept Drift Adaptation in Federated Learning ICML 2023
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ICML 2023
Federated Learning under Distributed Concept Drift AISTATS 2023
Federated Learning for Data Streams AISTATS 2023
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm ICML 2023
Momentum Provably Improves Error Feedback! NIPS 2023
Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification ICML 2023
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient ICML 2023
Robust Collaborative Learning with Linear Gradient Overhead ICML 2023
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023
Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training CVPR 2023
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning IJCAI 2023
Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NIPS 2023
Divide-and-Conquer Fusion JMLR 2023
On Biased Compression for Distributed Learning JMLR 2023
Distributed Personalized Empirical Risk Minimization NIPS 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning NIPS 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation NIPS 2023
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits NIPS 2023