conftrace_

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

Distributed Projection-Free Online Learning for Smooth and Convex Losses AAAI 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis NIPS 2023
Optimal Shrinkage for Distributed Second-Order Optimization ICML 2023
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds NIPS 2023
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NIPS 2023
Top-k data selection via distributed sample quantile inference L4DC 2023
FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability AAAI 2023
Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory AAAI 2023
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NIPS 2023
Momentum Provably Improves Error Feedback! NIPS 2023
Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems JMLR 2023
Distributed Sparse Regression via Penalization JMLR 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities NIPS 2023
A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting NIPS 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023
Federated Conditional Stochastic Optimization NIPS 2023
Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization NIPS 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023
Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity CVPR 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities NIPS 2023
Federated Multi-Objective Learning NIPS 2023
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning AISTATS 2022
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022