FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4212773196> ?p ?o ?g. }

• W4212773196 endingPage "2869" @default.
• W4212773196 startingPage "2853" @default.
• W4212773196 abstract "Federated learning (FL) has been considered as a promising paradigm for enabling distributed training/learning in many machine-learning services without revealing users’ local data. Driven by the growing interests in exploiting FL in wireless networks, this paper studies the Non-orthogonal Multiple Access (NOMA) assisted FL in which a group of end-devices (EDs) form a NOMA cluster to send their locally trained models to the cellular base station (BS) for model aggregation. In particular, we consider that the BS adopts wireless power transfer (WPT) to power the EDs (for their data transmission and local training) in each round of FL iteration, and formulate a joint optimization of the BS’s WPT for different EDs, the EDs’ NOMA-transmission for sending the local models to the BS, the BS’s broadcasting of the aggregated model to all EDs, the processing-rates of the BS and EDs, as well as the training-accuracy of the FL, with the objective of minimizing the system-wise cost accounting for the total energy consumption as well as the FL convergence latency. In spite of the strict non-convexity of the joint optimization problem, we analytically characterize the BS’s and all EDs’ optimal processing-rates, based on which we propose a layered algorithm for finding the optimal solutions for the joint optimization problem via exploiting monotonic optimization. Numerical results validate that our algorithm can achieve the optimal solution as LINGO’s global-solver (i.e., a commercial optimization package) while significantly reducing the computation-time. Moreover, the results also demonstrate that our NOMA assisted FL can reduce the system cost compared to the benchmark FL scheme with the fixed local training-accuracy by more than 70% and the conventional frequency division multiple access (FDMA) based FL by 78%." @default.
• W4212773196 created "2022-02-24" @default.
• W4212773196 creator A5026174128 @default.
• W4212773196 creator A5030858163 @default.
• W4212773196 creator A5034848804 @default.
• W4212773196 creator A5076938763 @default.
• W4212773196 creator A5082844557 @default.
• W4212773196 date "2022-04-01" @default.
• W4212773196 modified "2023-10-17" @default.
• W4212773196 title "Non-Orthogonal Multiple Access Assisted Federated Learning via Wireless Power Transfer: A Cost-Efficient Approach" @default.
• W4212773196 cites W2066409766 @default.
• W4212773196 cites W2116175219 @default.
• W4212773196 cites W2169153222 @default.
• W4212773196 cites W2186982976 @default.
• W4212773196 cites W2510173137 @default.
• W4212773196 cites W2736111490 @default.
• W4212773196 cites W2767141265 @default.
• W4212773196 cites W2769456309 @default.
• W4212773196 cites W2789414605 @default.
• W4212773196 cites W2802987866 @default.
• W4212773196 cites W2896945154 @default.
• W4212773196 cites W2963019341 @default.
• W4212773196 cites W2964052915 @default.
• W4212773196 cites W3010366679 @default.
• W4212773196 cites W3015312466 @default.
• W4212773196 cites W3015636663 @default.
• W4212773196 cites W3038426846 @default.
• W4212773196 cites W3045898871 @default.
• W4212773196 cites W3047079385 @default.
• W4212773196 cites W3084436411 @default.
• W4212773196 cites W3089655738 @default.
• W4212773196 cites W3090615085 @default.
• W4212773196 cites W3091075746 @default.
• W4212773196 cites W3093755649 @default.
• W4212773196 cites W3095611529 @default.
• W4212773196 cites W3099980742 @default.
• W4212773196 cites W3101496806 @default.
• W4212773196 cites W3101650196 @default.
• W4212773196 cites W3101718285 @default.
• W4212773196 cites W3103135626 @default.
• W4212773196 cites W3109847748 @default.
• W4212773196 cites W3116418408 @default.
• W4212773196 cites W3122122969 @default.
• W4212773196 cites W3124943657 @default.
• W4212773196 cites W3135590557 @default.
• W4212773196 cites W3159080474 @default.
• W4212773196 cites W3203789000 @default.
• W4212773196 cites W4250589301 @default.
• W4212773196 doi "https://doi.org/10.1109/tcomm.2022.3153068" @default.
• W4212773196 hasPublicationYear "2022" @default.
• W4212773196 type Work @default.
• W4212773196 citedByCount "46" @default.
• W4212773196 countsByYear W42127731962022 @default.
• W4212773196 countsByYear W42127731962023 @default.
• W4212773196 crossrefType "journal-article" @default.
• W4212773196 hasAuthorship W4212773196A5026174128 @default.
• W4212773196 hasAuthorship W4212773196A5030858163 @default.
• W4212773196 hasAuthorship W4212773196A5034848804 @default.
• W4212773196 hasAuthorship W4212773196A5076938763 @default.
• W4212773196 hasAuthorship W4212773196A5082844557 @default.
• W4212773196 hasConcept C108037233 @default.
• W4212773196 hasConcept C11413529 @default.
• W4212773196 hasConcept C120314980 @default.
• W4212773196 hasConcept C126255220 @default.
• W4212773196 hasConcept C137836250 @default.
• W4212773196 hasConcept C199360897 @default.
• W4212773196 hasConcept C2778770139 @default.
• W4212773196 hasConcept C2779423816 @default.
• W4212773196 hasConcept C31258907 @default.
• W4212773196 hasConcept C33923547 @default.
• W4212773196 hasConcept C41008148 @default.
• W4212773196 hasConcept C555944384 @default.
• W4212773196 hasConcept C557945733 @default.
• W4212773196 hasConcept C68649174 @default.
• W4212773196 hasConcept C761482 @default.
• W4212773196 hasConcept C76155785 @default.
• W4212773196 hasConceptScore W4212773196C108037233 @default.
• W4212773196 hasConceptScore W4212773196C11413529 @default.
• W4212773196 hasConceptScore W4212773196C120314980 @default.
• W4212773196 hasConceptScore W4212773196C126255220 @default.
• W4212773196 hasConceptScore W4212773196C137836250 @default.
• W4212773196 hasConceptScore W4212773196C199360897 @default.
• W4212773196 hasConceptScore W4212773196C2778770139 @default.
• W4212773196 hasConceptScore W4212773196C2779423816 @default.
• W4212773196 hasConceptScore W4212773196C31258907 @default.
• W4212773196 hasConceptScore W4212773196C33923547 @default.
• W4212773196 hasConceptScore W4212773196C41008148 @default.
• W4212773196 hasConceptScore W4212773196C555944384 @default.
• W4212773196 hasConceptScore W4212773196C557945733 @default.
• W4212773196 hasConceptScore W4212773196C68649174 @default.
• W4212773196 hasConceptScore W4212773196C761482 @default.
• W4212773196 hasConceptScore W4212773196C76155785 @default.
• W4212773196 hasFunder F4320320709 @default.
• W4212773196 hasFunder F4320321001 @default.
• W4212773196 hasIssue "4" @default.
• W4212773196 hasLocation W42127731961 @default.
• W4212773196 hasOpenAccess W4212773196 @default.
• W4212773196 hasPrimaryLocation W42127731961 @default.

• next