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Scheduling

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Showing 1301–1325 of 3104 papers

TitleStatusHype
Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning—0
Dynamic Uploading Scheduling in mmWave-Based Sensor Networks via Mobile Blocker Detection—0
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows—0
SWIPT in Mixed Near- and Far-Field Channels: Joint Beam Scheduling and Power Allocation—0
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction—0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation—0
Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning—0
Free Space Optical Communication for Inter-Satellite Link: Architecture, Potentials and Trends—0
Towards Continually Learning Application Performance Models—0
Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach—0
Decentralized Learning over Wireless Networks with Broadcast-Based Subgraph Sampling—0
Learning-based Scheduling for Information Accuracy and Freshness in Wireless Networks—0
A Multi-timescale and Chance-Constrained Energy Dispatching Strategy of Integrated Heat-Power Community with Shared Hybrid Energy Storage—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems—0
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems—0
A New Time Series Similarity Measure and Its Smart Grid Applications—0
Auction-Based Scheduling—0
An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent—0
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN WorkloadsCode0
Enhancing Column Generation by Reinforcement Learning-Based Hyper-Heuristic for Vehicle Routing and Scheduling Problems—0
Hybrid Reinforcement Learning for Optimizing Pump Sustainability in Real-World Water Distribution Networks—0
Optimal Scheduling of Electric Vehicle Charging with Deep Reinforcement Learning considering End Users Flexibility—0
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach—0
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