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Showing 726–750 of 3104 papers

TitleStatusHype
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment—0
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments—0
R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Models—0
Self-Guided Generation of Minority Samples Using Diffusion ModelsCode1
SOC-Boundary and Battery Aging Aware Hierarchical Coordination of Multiple EV Aggregates Among Multi-stakeholders with Multi-Agent Constrained Deep Reinforcement Learning—0
Biased Backpressure Routing Using Link Features and Graph Neural NetworksCode0
Multi-Provider Resource Scheduling in Massive MIMO Radio Access Networks—0
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing—0
Joint Load and Capacity Scheduling for Flexible Radio Resource Management of High-Throughput SatellitesCode1
Robust Generalization of Graph Neural Networks for Carrier Scheduling—0
High-Precision, Fair University Course Scheduling During a Pandemic—0
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing NetworkCode1
Enhanced Battery Degradation-Aware Scheduling for Distribution Network with Electric Vehicle Load—0
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion ModelsCode2
PORCA: Root Cause Analysis with Partially Observed Data—0
Model Collapse in the Self-Consuming Chain of Diffusion Finetuning: A Novel Perspective from Quantitative Trait Modeling—0
Configuring Transmission Thresholds in IIoT Alarm Scenarios for Energy-Efficient Event Reporting—0
Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks—0
Uncertainty-Aware Decarbonization for Datacenters—0
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times—0
Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud—0
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer RechargeCode0
Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management SystemsCode0
A Review of Safe Reinforcement Learning Methods for Modern Power Systems—0
Sparse Actuator Scheduling for Discrete-Time Linear Dynamical Systems—0
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