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Scheduling

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Showing 1251–1300 of 3104 papers

TitleStatusHype
FfDL : A Flexible Multi-tenant Deep Learning Platform—0
Fidelity-based Deep Adiabatic Scheduling—0
FIKIT: Priority-Based Real-time GPU Multi-tasking Scheduling with Kernel Identification—0
Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data—0
Enhanced Battery Degradation-Aware Scheduling for Distribution Network with Electric Vehicle Load—0
Energy Spatio-Temporal Pattern Prediction for Electric Vehicle Networks—0
Finite State Machines-Based Path-Following Collaborative Computing Strategy for Emergency UAV Swarms—0
Finite-Time Information-Theoretic Bounds in Queueing Control—0
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)—0
Fixed-Throughput GRAND with FIFO Scheduling—0
Energy Smart Buildings: Parallel Uniform Cost-Search with Energy Storage and Generation—0
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks—0
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments—0
Energy Scheduling for Residential Distributed Energy Resources with Uncertainties Using Model-based Predictive Control—0
Branching Dueling Q-Network Based Online Scheduling of a Microgrid With Distributed Energy Storage Systems—0
An Evolutionary Algorithm For the Vehicle Routing Problem with Drones with Interceptions—0
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World—0
Flatland-RL : Multi-Agent Reinforcement Learning on Trains—0
FleetX—0
Energy Optimization in Massive MIMO UAV-Aided MEC-Enabled Vehicular Networks—0
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement—0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer—0
Energy Minimization in UAV-Aided Networks: Actor-Critic Learning for Constrained Scheduling Optimization—0
FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware Scheduling—0
Energy-Efficient Vehicular Edge Computing with One-by-one Access Scheme—0
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs—0
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model—0
Energy-Efficient Trajectory Design of a Multi-IRS Assisted Portable Access Point—0
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data—0
An Evolutionary Algorithm for Task Scheduling in Crowdsourced Software Development—0
FormulaOne: Measuring the Depth of Algorithmic Reasoning Beyond Competitive Programming—0
Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing—0
Free Space Optical Communication for Inter-Satellite Link: Architecture, Potentials and Trends—0
A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management—0
Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach—0
Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function Value—0
Frequency Response from Aggregated V2G Chargers With Uncertain EV Connections—0
Energy-Efficient Scheduling with Predictions—0
Communication-robust and Privacy-safe Distributed Estimation for Heterogeneous Community-level Behind-the-meter Solar Power Generation—0
From Instantaneous Schedulability to Worst Case Schedulability: A Significant Moment Approach—0
FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors—0
FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors—0
FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models—0
Full Stack Optimization of Transformer Inference: a Survey—0
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy—0
Further Connections Between Contract-Scheduling and Ray-Searching Problems—0
Comparison of scheduling methods for the learning rate of neural network language models (Mod\`eles de langue neuronaux: une comparaison de plusieurs strat\'egies d'apprentissage) [in French]—0
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs—0
Energy-efficient Runtime Resource Management for Adaptable Multi-application Mapping—0
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