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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

Optimal Algorithms for Decentralized Stochastic Variational Inequalities NIPS 2022
FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction CVPR 2022
RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022
Towards Verifiable Federated Learning IJCAI 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NIPS 2022
Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training NIPS 2022
Communication-efficient Distributed Learning for Large Batch Optimization ICML 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022
Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022
Solving Multi-Arm Bandit Using a Few Bits of Communication AISTATS 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022
Distributed Online Convex Optimization with Compressed Communication NIPS 2022
Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems AAAI 2022
Can we Generalize and Distribute Private Representation Learning? AISTATS 2022
Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022
Distributed Learning with Strategic Users: A Repeated Game Approach AAAI 2022
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
SplitFed: When Federated Learning Meets Split Learning AAAI 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022