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Scheduling

Project or Job Scheduling

Papers

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Showing 1076–1100 of 3104 papers

TitleStatusHype
Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework—0
Learning From Scenarios for Stochastic Repairable SchedulingCode0
Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment—0
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service—0
A Sparsity Approach to Scheduling and Control of Networked Systems—0
A Hardware Evaluation Framework for Large Language Model Inference—0
Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural NetworksCode1
mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUsCode2
Interference-Constrained Scheduling of a Cognitive Multi-hop Underwater Acoustic Network—0
Deep Reinforcement Learning for Community Battery Scheduling under Uncertainties of Load, PV Generation, and Energy Prices—0
Koopman-based feedback design with stability guarantees—0
Biased Random-Key Genetic Algorithms: A Review—0
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network TrainingCode1
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
Zero Bubble Pipeline ParallelismCode2
Low-Latency ML Inference by Grouping Correlated Data Objects and Computation—0
Deep Reinforcement Learning Based Optimal Energy Management of Multi-energy Microgrids with Uncertainties—0
Robust-to-Noise Algorithms for Distributed Resource Allocation and Scheduling—0
Combined Scheduling, Memory Allocation and Tensor Replacement for Minimizing Off-Chip Data Accesses of DNN Accelerators—0
Automating lookahead planning using site appearance and space utilization—0
Generalisable Agents for Neural Network Optimisation—0
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated LearningCode0
Dynamic Scheduling of a Multiclass Queue in the Halfin-Whitt Regime: A Computational Approach for High-Dimensional Problems—0
OpenSense: An Open-World Sensing Framework for Incremental Learning and Dynamic Sensor Scheduling on Embedded Edge Devices—0
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning—0
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