Most of our lives are conducted in the cyberspace. The human notion of privacy translates
into a cyber notion of privacy on many functions that take place in the cyberspace. This …

Federated learning (FL) is a machine learning setting where many clients (eg, mobile
devices or whole organizations) collaboratively train a model under the orchestration of a …

Private information retrieval (PIR) is the problem of retrieving, as efficiently as possible, one
out of K messages from N non-communicating replicated databases (each holds all K …

The problem of cache enabled private information retrieval (PIR) is considered in which a
user wishes to privately retrieve one out of K messages, each of size L bits from N distributed …

We consider the problem of T-Private Information Retrieval with private side information
(TPIR-PSI). In this problem, N replicated databases store K independent messages, and a …

Fast-growing smart city applications, such as smart delivery, smart community, and smart
health, are generating big data that are widely distributed on the internet. IoT (Internet of …

X-secure and T-private information retrieval (XSTPIR) is a form of private information
retrieval where data security is guaranteed against collusion among up to X servers and the …

We introduce the problem of private computation, comprised of N distributed and non-
colluding servers, K independent datasets, and a user who wants to compute a function of …

Internet of Things (IoT) is now serving as a vehicle to a huge number of applications,
resulting in innovative and smart solutions in many fields. While providing abundant benefits …

We consider the problem of private information retrieval from N non-colluding and replicated
databases, when the user is equipped with a cache that holds an uncoded fraction r of the …