Federated Learning (FL) facilitates collaborative training of models without exchanging any data, thereby ensuring data locality. However, the exchange of local model updates is still susceptible to attacks such as gradient inference, model reconstruction, man-in-the-middle, replay, and tampering, which create consider...
V. Naresh, Sivaranjani Reddi, M. H. M. Krishna Prasad· Journal of King Saud Univers...· 0 citations
The proposed framework combines accident severity prediction with GPS-enabled spatial network analysis to identify high-risk road segments and recommend safer alternative routes and enhanced emergency response within intelligent transportation environments.
V. Naresh, Ayyappa Dullam· European Transport Research...· 0 citations
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