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| FIKIT: Priority-Based Real-time GPU Multi-tasking Scheduling with Kernel Identification | Nov 17, 2023 | Cloud ComputingGPU | —Unverified | 0 | 0 |
| Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data | Jun 10, 2025 | ImputationManagement | —Unverified | 0 | 0 |
| Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE | Apr 16, 2022 | Scheduling | —Unverified | 0 | 0 |
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| Finite State Machines-Based Path-Following Collaborative Computing Strategy for Emergency UAV Swarms | Jul 16, 2024 | Scheduling | —Unverified | 0 | 0 |
| Finite-Time Information-Theoretic Bounds in Queueing Control | Jun 23, 2025 | Scheduling | —Unverified | 0 | 0 |
| Federated Learning over Wireless IoT Networks with Optimized Communication and Resources | Oct 22, 2021 | Federated LearningScheduling | —Unverified | 0 | 0 |
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| FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks | Apr 23, 2024 | Federated LearningScheduling | —Unverified | 0 | 0 |
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| Co-Design of Topology, Scheduling, and Path Planning in Automated Warehouses | Mar 2, 2023 | Scheduling | —Unverified | 0 | 0 |
| A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training | Feb 7, 2018 | GPUScheduling | —Unverified | 0 | 0 |
| Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems | Jun 3, 2024 | Dataset GenerationFederated Learning | —Unverified | 0 | 0 |
| Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World | Mar 30, 2021 | Multi-agent Reinforcement LearningScheduling | —Unverified | 0 | 0 |
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| FleetX | Dec 6, 2021 | CPUDistributed Computing | —Unverified | 0 | 0 |
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| Federated Edge Learning : Design Issues and Challenges | Aug 31, 2020 | Federated LearningScheduling | —Unverified | 0 | 0 |
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| Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment | Jul 16, 2024 | QuantizationScheduling | —Unverified | 0 | 0 |
| Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs | Sep 27, 2022 | Autonomous VehiclesScheduling | —Unverified | 0 | 0 |
| FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model | Oct 20, 2024 | Contrastive LearningFew-Shot Learning | —Unverified | 0 | 0 |
| An optimal scheduling architecture for accelerating batch algorithms on Neural Network processor architectures | Feb 14, 2020 | Scheduling | —Unverified | 0 | 0 |
| Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data | Aug 22, 2020 | Scheduling | —Unverified | 0 | 0 |
| Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective | Aug 6, 2019 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| FormulaOne: Measuring the Depth of Algorithmic Reasoning Beyond Competitive Programming | Jul 17, 2025 | Scheduling | —Unverified | 0 | 0 |
| Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing | Dec 16, 2023 | Autonomous DrivingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Free Space Optical Communication for Inter-Satellite Link: Architecture, Potentials and Trends | Oct 26, 2023 | Integrated sensing and communicationScheduling | —Unverified | 0 | 0 |
| Code Retrieval for MILP Instance Generation | May 11, 2025 | Code GenerationRetrieval | —Unverified | 0 | 0 |
| Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach | Jun 30, 2021 | Scheduling | —Unverified | 0 | 0 |
| Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function Value | Jan 6, 2020 | Job Shop SchedulingScheduling | —Unverified | 0 | 0 |
| Frequency Response from Aggregated V2G Chargers With Uncertain EV Connections | Feb 16, 2022 | Scheduling | —Unverified | 0 | 0 |
| FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning | Jun 9, 2025 | Federated LearningScheduling | —Unverified | 0 | 0 |
| FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems | Sep 26, 2022 | Feature EngineeringGPU | —Unverified | 0 | 0 |
| From Instantaneous Schedulability to Worst Case Schedulability: A Significant Moment Approach | Sep 11, 2021 | Scheduling | —Unverified | 0 | 0 |
| FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors | Jan 1, 2025 | 3D Scene ReconstructionNeRF | —Unverified | 0 | 0 |
| FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors | Oct 21, 2024 | 3D Scene ReconstructionNeRF | —Unverified | 0 | 0 |
| FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models | Jan 18, 2025 | GPUMixture-of-Experts | —Unverified | 0 | 0 |
| Full Stack Optimization of Transformer Inference: a Survey | Feb 27, 2023 | Neural Architecture SearchScheduling | —Unverified | 0 | 0 |
| Co-channel Interference Management for the Next-Generation Heterogeneous Networks using Deep Leaning | Jan 6, 2023 | ManagementScheduling | —Unverified | 0 | 0 |
| Further Connections Between Contract-Scheduling and Ray-Searching Problems | Apr 27, 2015 | Scheduling | —Unverified | 0 | 0 |
| An Online Scheduling Algorithm for a Community Energy Storage System | Oct 5, 2021 | Scheduling | —Unverified | 0 | 0 |
| FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs | Sep 3, 2023 | CPUGPU | —Unverified | 0 | 0 |
| f-CNN^x: A Toolflow for Mapping Multi-CNN Applications on FPGAs | May 25, 2018 | GPUScheduling | —Unverified | 0 | 0 |