Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Vavekanand, Raja"'
Autor:
Sam, Kira, Vavekanand, Raja
This work contributes to the field of Machine Ethics (ME) benchmarking, which develops tests to assess whether intelligent systems accurately represent human values and act accordingly. We identify three major issues with current ME benchmarks: limit
Externí odkaz:
http://arxiv.org/abs/2410.19753
arXiv admin note: This version has been removed by arXiv administrators due to copyright infringement
Comment: arXiv admin note: This version has been removed by arXiv administrators due to copyright infringement and inappropriate text reuse fro
Comment: arXiv admin note: This version has been removed by arXiv administrators due to copyright infringement and inappropriate text reuse fro
Externí odkaz:
http://arxiv.org/abs/2408.14483
Autor:
Vavekanand, Raja, Sam, Kira
Federated Learning (FL) is a recent model training paradigm in which client devices collaboratively train a model without ever aggregating their data. Crucially, this scheme offers users potential privacy and security benefits by only ever communicat
Externí odkaz:
http://arxiv.org/abs/2407.20557
In this work uses innovative multi-channel load-sensing techniques to deploy unmanned aerial vehicles (UAVs) for surveillance. The research aims to improve the quality of data transmission methods and improve the efficiency and reliability of surveil
Externí odkaz:
http://arxiv.org/abs/2407.09531