WFRF:(Chen Zihan)
Sökning: WFRF:(Chen Zihan) > Value of Informatio...
LIBRIS Formathandbok (Information om MARC21)
| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 02858naa a2200349 4500 | |
| 001 | oai:DiVA.org:liu-202388 | |
| 003 | SwePub | |
| 008 | 240412s2023 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2023882 URI |
| 024 | 7 | a https://doi.org/10.1109/CSCN60443.2023.104531682 DOI |
| 040 | a (SwePub)liu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a kon2 swepub-publicationtype |
| 100 | 1 | a Khan, Muhammad Azeemu Univ Calabria, Italy4 aut |
| 245 | 1 0 | a Value of Information and Timing-aware Scheduling for Federated Learning |
| 264 | 1 | b IEEE,c 2023 |
| 338 | a print2 rdacarrier | |
| 500 | a Funding Agencies|Swedish Research Council (VR); ELLIIT; Zenith; European Union (ETHER) [101096526] | |
| 520 | a Data possesses significant value as it fuels advancements in AI. However, protecting the privacy of the data generated by end-user devices has become crucial. Federated Learning (FL) offers a solution by preserving data privacy during training. FL brings the model directly to User Equipments (UEs) for local training by an access point (AP). The AP periodically aggregates trained parameters from UEs, enhancing the model and sending it back to them. However, due to communication constraints, only a subset of UEs can update parameters during each global aggregation. Consequently, developing innovative scheduling algorithms is vital to enable complete FL implementation and enhance FL convergence. In this paper, we present a scheduling policy combining Age of Update (AoU) concepts and data Shapley metrics. This policy considers the freshness and value of received parameter updates from individual data sources and real-time channel conditions to enhance FL's operational efficiency. The proposed algorithm is simple, and its effectiveness is demonstrated through simulations. | |
| 650 | 7 | a TEKNIK OCH TEKNOLOGIERx Annan teknikx Mediateknik0 (SwePub)211022 hsv//swe |
| 650 | 7 | a ENGINEERING AND TECHNOLOGYx Other Engineering and Technologiesx Media Engineering0 (SwePub)211022 hsv//eng |
| 653 | a Age of Update; Data Shapely; Federated Learning; Scheduling | |
| 700 | 1 | a Yang, Howard H.u Zhejiang Univ, Peoples R China4 aut |
| 700 | 1 | a Chen, Zihanu Singapore Univ Technol & Design, Singapore4 aut |
| 700 | 1 | a Iera, Antoniou Univ Calabria, Italy4 aut |
| 700 | 1 | a Pappas, Nikolaosu Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten4 aut0 (Swepub:liu)nikpa02 |
| 710 | 2 | a Univ Calabria, Italyb Zhejiang Univ, Peoples R China4 org |
| 773 | 0 | t 2023 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING, CSCNd : IEEEg , s. 94-99q <94-99z 9798350395389z 9798350395396 |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-202388 |
| 856 | 4 8 | u https://doi.org/10.1109/CSCN60443.2023.10453168 |
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