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

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024
Personalized PCA: Decoupling Shared and Unique Features JMLR 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning AAAI 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NIPS 2024
Optimization Algorithm Design via Electric Circuits NIPS 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction NIPS 2024
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024
On Sampling Strategies for Spectral Model Sharding NIPS 2024
Distributed Estimation on Semi-Supervised Generalized Linear Model JMLR 2024
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NIPS 2024
Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization CVPR 2024
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NIPS 2024
A deep learning approach for distributed aggregative optimization with users’ Feedback L4DC 2024
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence NIPS 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NIPS 2024
Beyond Spectral Gap: The Role of the Topology in Decentralized Learning JMLR 2023
Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity CVPR 2023
Federated Conditional Stochastic Optimization NIPS 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023
Optimal Shrinkage for Distributed Second-Order Optimization ICML 2023
Top-k data selection via distributed sample quantile inference L4DC 2023