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Showing 1251–1275 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
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources—0
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms—0
Finite State Machines-Based Path-Following Collaborative Computing Strategy for Emergency UAV Swarms—0
Finite-Time Information-Theoretic Bounds in Queueing Control—0
Efficient Wireless Federated Learning with Partial Model Aggregation—0
Fixed-Throughput GRAND with FIFO Scheduling—0
Co-Design of Topology, Scheduling, and Path Planning in Automated Warehouses—0
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks—0
A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training—0
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems—0
Co-Design of Sensing, Communications, and Control for Low-Altitude Wireless Networks—0
Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks—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
Federated Edge Learning : Design Issues and Challenges—0
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement—0
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment—0
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer—0
An optimal scheduling architecture for accelerating batch algorithms on Neural Network processor architectures—0
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective—0
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