Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
---|---|---|---|
1 |
Material Type: Article
|
![]() |
Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networkshttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2406.11245Digital Resources/Online E-Resources |
2 |
Material Type: Article
|
![]() |
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensinghttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.15542Digital Resources/Online E-Resources |
3 |
Material Type: Article
|
![]() |
Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learninghttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2406.11318Digital Resources/Online E-Resources |
4 |
Material Type: Article
|
![]() |
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inferencehttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.17245Digital Resources/Online E-Resources |
5 |
Material Type: Article
|
![]() |
Lambda$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AIhttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2310.14651Digital Resources/Online E-Resources |
6 |
Material Type: Article
|
![]() |
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-casehttp://creativecommons.org/licenses/by-nc-nd/4.0 ;DOI: 10.48550/arxiv.2212.00714Digital Resources/Online E-Resources |
7 |
Material Type: Article
|
![]() |
Efficient Direct-Connect Topologies for Collective CommunicationsarXiv.org, 2024-052024. 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.2202.03356Full text available |
8 |
Material Type: Article
|
![]() |
Federated Transfer Component Analysis Towards Effective VNF ProfilingarXiv.org, 2024-052024. 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.2404.17553Full text available |
9 |
Material Type: Article
|
![]() |
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence AnalysisarXiv.org, 2024-042024. 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.2404.08003Full text available |
10 |
Material Type: Article
|
![]() |
Energy Loss Prediction in IoT Energy ServicesarXiv.org, 2023-052023. 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.2305.10238Full text available |
11 |
Material Type: Article
|
![]() |
Architectural Blueprint For Heterogeneity-Resilient Federated LearningarXiv.org, 2024-032024. 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.2403.04546Full text available |
12 |
Material Type: Article
|
![]() |
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA TransmissionarXiv.org, 2024-032024. 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.2403.00881Full text available |
13 |
Material Type: Article
|
![]() |
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex NetworksarXiv.org, 2024-022024. 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.2303.05445Full text available |
14 |
Material Type: Article
|
![]() |
MLTCP: Congestion Control for DNN TrainingarXiv.org, 2024-022024. 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.2402.09589Full text available |
15 |
Material Type: Article
|
![]() |
FedMFS: Federated Multimodal Fusion Learning with Selective Modality CommunicationarXiv.org, 2024-022024. 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.2310.07048Full text available |
16 |
Material Type: Article
|
![]() |
ForestColl: Efficient Collective Communications on Heterogeneous Network FabricsarXiv.org, 2024-022024. 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.2402.06787Full text available |
17 |
Material Type: Article
|
![]() |
Workflow Optimization for Parallel Split LearningarXiv.org, 2024-022024. 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.2402.10092Full text available |
18 |
Material Type: Article
|
![]() |
Predicting IPv4 Services Across All PortsarXiv.org, 2023-032023. 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.2303.00895Full text available |
19 |
Material Type: Article
|
![]() |
IoT in the Era of Generative AI: Vision and ChallengesarXiv.org, 2024-012024. 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.2401.01923Full text available |
20 |
Material Type: Article
|
![]() |
ACCL+: an FPGA-Based Collective Engine for Distributed ApplicationsarXiv.org, 2023-122023. 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.2312.11742Full text available |