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

Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays AAAI 2026
BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning AAAI 2026
S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems AAAI 2026
Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization AAAI 2026
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence AAAI 2025
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025
A Primal-dual Perspective for Distributed TD-learning IJCAI 2025
Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity AAAI 2025
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback JMLR 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025
SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method IJCAI 2025
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NIPS 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NIPS 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Personalized PCA: Decoupling Shared and Unique Features JMLR 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024
A deep learning approach for distributed aggregative optimization with users’ Feedback L4DC 2024
Communication Efficient Distributed Newton Method over Unreliable Networks AAAI 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024