We investigate the problem of private read update write (PRUW) in relation to federated
submodel learning (FSL) with storage constrained databases. In PRUW, a user privately …

Elasticity plays an important role in modern cloud computing systems. Elastic computing
allows virtual machines (ie, computing nodes) to be preempted when high-priority jobs arise …

We consider a special case of X-secure T-private information retrieval (XSTPIR), where the
security requirement is asymmetric due to possible missing communication links between …

We introduce the problem of deceptive information retrieval (DIR), in which a user wishes to
download a required file out of multiple independent files stored in a system of databases …

In the conventional robust-colluding private information retrieval (PIR) system, the user
needs to retrieve one of the possible messages while kee** the identity of the requested …

In federated submodel learning (FSL), a machine learning model is divided into multiple
submodels based on different types of data used for training. Each user involved in the …

In a classification task, counterfactual explanations provide the minimum change needed for
an input to be classified into a favorable class. We consider the problem of privately …

We investigate the problem of private read update write (PRUW) with heterogeneous
storage constrained databases in federated submodel learning (FSL). In FSL a machine …

Elasticity is one important feature in modern cloud computing systems and can result in
computation failure or significantly increase computing time. Such elasticity means that …

Data privacy has gained significant interest in information theory with the emergence of a
wide range of data-driven technologies in the recent past. Data privacy is compromised …