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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

Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NIPS 2024
Exponential Quantum Communication Advantage in Distributed Inference and Learning NIPS 2024
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024
Distributed Estimation on Semi-Supervised Generalized Linear Model JMLR 2024
LocMoE: A Low-overhead MoE for Large Language Model Training IJCAI 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NIPS 2024
Distributed Manifold Hashing for Image Set Classification and Retrieval AAAI 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NIPS 2024
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NIPS 2024
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data JMLR 2024
High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024
Adapted Weighted Aggregation in Federated Learning AAAI 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning IJCAI 2024
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024
JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024
Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems EMNLP 2024
Ordered Momentum for Asynchronous SGD NIPS 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024
Multi-agent assignment via state augmented reinforcement learning L4DC 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NIPS 2024
Distributed Least Squares in Small Space via Sketching and Bias Reduction NIPS 2024
Convergence Analysis of Split Federated Learning on Heterogeneous Data NIPS 2024