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We study the problem of approximating stationary points of Lipschitz and smooth functions under $(varepsilon,delta)$-differential privacy (DP)...
In the realm of online privacy, privacy assistants play a pivotal role in empowering users to manage...
Given the volume of data needed to train modern machine learning models, external suppliers are increasingly used....
Recent works have tried to increase the verifiability of adversarially trained networks by running the attacks over...
Recent works have tried to increase the verifiability of adversarially trained networks by running the attacks over...
Given the volume of data needed to train modern machine learning models, external suppliers are increasingly used....
On Differentially Private Federated Linear Contextual Bandits. (arXiv:2302.13945v2 [cs.LG] UPDATED)
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We consider cross-silo federated linear contextual bandit (LCB) problem under differential privacy, where multiple silos (agents) interact...
In the realm of online privacy, privacy assistants play a pivotal role in empowering users to manage...
In the realm of online privacy, privacy assistants play a pivotal role in empowering users to manage...
Given the volume of data needed to train modern machine learning models, external suppliers are increasingly used....