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Results 1 - 20 of 216  for All Library Resources

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1
Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks
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Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2406.11245

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2
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing
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SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.15542

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3
Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning
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Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2406.11318

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4
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
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Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.17245

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5
Lambda$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI
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Lambda$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2310.14651

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6
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case
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A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case

http://creativecommons.org/licenses/by-nc-nd/4.0 ;DOI: 10.48550/arxiv.2212.00714

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7
Efficient Direct-Connect Topologies for Collective Communications
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Efficient Direct-Connect Topologies for Collective Communications

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2202.03356

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8
Federated Transfer Component Analysis Towards Effective VNF Profiling
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Federated Transfer Component Analysis Towards Effective VNF Profiling

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.17553

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9
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
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Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis

arXiv.org, 2024-04

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.08003

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10
Energy Loss Prediction in IoT Energy Services
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Energy Loss Prediction in IoT Energy Services

arXiv.org, 2023-05

2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.10238

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11
Architectural Blueprint For Heterogeneity-Resilient Federated Learning
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Architectural Blueprint For Heterogeneity-Resilient Federated Learning

arXiv.org, 2024-03

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.04546

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12
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission
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FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission

arXiv.org, 2024-03

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.00881

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13
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks
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Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks

arXiv.org, 2024-02

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2303.05445

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14
MLTCP: Congestion Control for DNN Training
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MLTCP: Congestion Control for DNN Training

arXiv.org, 2024-02

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.09589

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15
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
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FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication

arXiv.org, 2024-02

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.07048

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16
ForestColl: Efficient Collective Communications on Heterogeneous Network Fabrics
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ForestColl: Efficient Collective Communications on Heterogeneous Network Fabrics

arXiv.org, 2024-02

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.06787

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17
Workflow Optimization for Parallel Split Learning
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Workflow Optimization for Parallel Split Learning

arXiv.org, 2024-02

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.10092

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18
Predicting IPv4 Services Across All Ports
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Predicting IPv4 Services Across All Ports

arXiv.org, 2023-03

2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2303.00895

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19
IoT in the Era of Generative AI: Vision and Challenges
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IoT in the Era of Generative AI: Vision and Challenges

arXiv.org, 2024-01

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2401.01923

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20
ACCL+: an FPGA-Based Collective Engine for Distributed Applications
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ACCL+: an FPGA-Based Collective Engine for Distributed Applications

arXiv.org, 2023-12

2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2312.11742

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