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

Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NIPS 2024

z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024

Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024

Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NIPS 2024

Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data WACV 2024

Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks IJCAI 2024

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024

Sketching for Distributed Deep Learning: A Sharper Analysis NIPS 2024

Ordered Momentum for Asynchronous SGD NIPS 2024

Adapted Weighted Aggregation in Federated Learning AAAI 2024

Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data JMLR 2024

Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NIPS 2024

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024

Queuing dynamics of asynchronous Federated Learning AISTATS 2024

Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024

A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NIPS 2024

Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024

SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NIPS 2024

Multi-agent assignment via state augmented reinforcement learning L4DC 2024

On the Necessity of Collaboration for Online Model Selection with Decentralized Data NIPS 2024

A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces L4DC 2024

Horus: Granular In-Network Task Scheduler for Cloud Datacenters NSDI 2024

Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024

EM for Mixture of Linear Regression with Clustered Data AISTATS 2024