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Distributed Learning

1100 directly classified papers

Papers per year

Papers

Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training CVPR 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023
Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems JMLR 2023
Distributed Sparse Regression via Penalization JMLR 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023
ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks NIPS 2023
Distributed Algorithms for U-statistics-based Empirical Risk Minimization JMLR 2023
Buffered Asynchronous SGD for Byzantine Learning JMLR 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023
Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023
On the Benefits of Learning to Route in Mixture-of-Experts Models EMNLP 2023
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy NIPS 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence NIPS 2023
Unlocking the Heterogeneous Landscape of Big Data NLP with DUUI EMNLP 2023
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NIPS 2023
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost ICML 2023
2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression NIPS 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities NIPS 2023
Correlation Aware Sparsified Mean Estimation Using Random Projection NIPS 2023
Robust Collaborative Learning with Linear Gradient Overhead ICML 2023