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Distributed Learning

157 directly classified papers

Papers per year

Papers

Ordered Momentum for Asynchronous SGD NIPS 2024
Exponential Quantum Communication Advantage in Distributed Inference and Learning NIPS 2024
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024
ParaILP: A Parallel Local Search Framework for Integer Linear Programming with Cooperative Evolution Mechanism IJCAI 2024
Provably Convergent Federated Trilevel Learning AAAI 2024
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NIPS 2024
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NIPS 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NIPS 2024
Leveraging partial stragglers within gradient coding NIPS 2024
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NIPS 2024
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data JMLR 2024
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024
Asynchronous Communication Aware Multi-Agent Task Allocation IJCAI 2023
Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization NIPS 2023
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? ICML 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023
Buffered Asynchronous SGD for Byzantine Learning JMLR 2023
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function ICML 2023
Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023
Fast Algorithms for Distributed k-Clustering with Outliers ICML 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient ICML 2023
Distributed Algorithms for U-statistics-based Empirical Risk Minimization JMLR 2023