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distributed optimization

275 papers

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Co-occurring keywords

federated learning (1333) communication efficiency (297) distributed learning (563) stochastic gradient descent (1091) convex optimization (1321) stochastic optimization (1060) communication complexity (99) variance reduction (523) communication compression (55) non-convex optimization (547)

Papers

Federated Learning under Arbitrary Communication Patterns ICML 2021
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NIPS 2021
Distributed Saddle-Point Problems Under Data Similarity NIPS 2021
Distributed Zero-Order Optimization under Adversarial Noise NIPS 2021
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NIPS 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NIPS 2021
Distributed Machine Learning with Sparse Heterogeneous Data NIPS 2021
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NIPS 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices NIPS 2021
Towards Tight Communication Lower Bounds for Distributed Optimisation NIPS 2021
Breaking the centralized barrier for cross-device federated learning NIPS 2021
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization COLT 2021
Exponential Graph is Provably Efficient for Decentralized Deep Training NIPS 2021
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NIPS 2021
Communication-efficient SGD: From Local SGD to One-Shot Averaging NIPS 2021
A Stochastic Newton Algorithm for Distributed Convex Optimization NIPS 2021
Federated Learning with Compression: Unified Analysis and Sharp Guarantees AISTATS 2021
Shuffled Model of Differential Privacy in Federated Learning AISTATS 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 2021
Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets IJCAI 2021
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021
Optimal Algorithms for Submodular Maximization with Distributed Constraints L4DC 2021
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks AISTATS 2020
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization ICML 2020
Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions JMLR 2020