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Showing 1326–1350 of 3104 papers

TitleStatusHype
Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI—0
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning—0
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning—0
Value of Information Analysis for rationalising information gathering in building energy analysisCode0
Reconfigurable Distributed FPGA Cluster Design for Deep Learning Accelerators—0
Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data—0
Dynamic Masking Rate Schedules for MLM Pretraining—0
FedZero: Leveraging Renewable Excess Energy in Federated LearningCode1
Research on Multi-Agent Communication and Collaborative Decision-Making Based on Deep Reinforcement Learning—0
OlaGPT: Empowering LLMs With Human-like Problem-Solving AbilitiesCode0
Downlink Clustering-Based Scheduling of IRS-Assisted Communications With Reconfiguration Constraints—0
Constrained Reinforcement Learning for Dynamic Material HandlingCode0
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach—0
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization—0
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference PipelineCode1
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework—0
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare—0
Logic-Based Benders Decomposition in Answer Set Programming for Chronic Outpatients Scheduling—0
DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities—0
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning—0
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log dataCode0
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments—0
Mastering the exploration-exploitation trade-off in Bayesian Optimization—0
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks—0
Graph Neural Networks-Based User Pairing in Wireless Communication SystemsCode1
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