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of 76
pro vyhledávání: '"Tian, Yongding"'
Federated learning and gossip learning are emerging methodologies designed to mitigate data privacy concerns by retaining training data on client devices and exclusively sharing locally-trained machine learning (ML) models with others. The primary di
Externí odkaz:
http://arxiv.org/abs/2404.04616
Autor:
Reukers, Matthijs A., Tian, Yongding, Al-Ars, Zaid, Hofstee, Peter, Brobbel, Matthijs, Peltenburg, Johan, van Straten, Jeroen
Tydi is an open specification for streaming dataflow designs in digital circuits, allowing designers to express how composite and variable-length data structures are transferred over streams using clear, data-centric types. These data types are exten
Externí odkaz:
http://arxiv.org/abs/2308.13436
Transferring composite data structures with variable-length fields often requires designing non-trivial protocols that are not compatible between hardware designs. When each project designs its own data format and protocols the ability to collaborate
Externí odkaz:
http://arxiv.org/abs/2212.11154
Autor:
Tian, Yongding, Reukers, Matthijs A., Al-Ars, Zaid, Hofstee, Peter, Brobbel, Matthijs, Peltenburg, Johan, van Straten, Jeroen
Transferring composite data structures with variable-length fields often requires designing unique protocols, causing incompatibility issues and decreased collaboration among hardware developers, especially in the open-source community. Because the h
Externí odkaz:
http://arxiv.org/abs/2212.06259
Publikováno v:
In Automation in Construction September 2024 165
Many researchers have proposed replacing the aggregation server in federated learning with a blockchain system to improve privacy, robustness, and scalability. In this approach, clients would upload their updated models to the blockchain ledger and u
Externí odkaz:
http://arxiv.org/abs/2110.15457
Publikováno v:
In Structures December 2023 58
Akademický článek
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Publikováno v:
In Computers and Geotechnics January 2023 153
Akademický článek
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