We consider the setting where a master wants to run a distributed stocha...
We consider the problem of a Parameter Server (PS) that wishes to learn ...
We consider straggler-resilient learning. In many previous works, e.g., ...
We study the differentially private multi group aggregation (PMGA) probl...
We study the problem of intermittent private information retrieval with
...
We consider the problem of ON-OFF privacy in which a user is interested ...
We consider a decentralized learning setting in which data is distribute...
The growing availability of personal genomics services comes with increa...
We formulate and study the problem of ON-OFF privacy. ON-OFF privacy
alg...
We consider the setting where a master wants to run a distributed stocha...
We consider the problem of secure distributed matrix multiplication in w...
Federated learning (FL) is a machine learning setting where many clients...
Edge computing is emerging as a new paradigm to allow processing data ne...
Edge computing is emerging as a new paradigm to allow processing data at...
We study the ON-OFF privacy problem. At each time, the user is intereste...
We consider distributed gradient descent in the presence of stragglers.
...
We introduce the ON-OFF privacy problem. At each time, the user is inter...
We consider a multi-user variant of the private information retrieval pr...
We consider the problem of secure distributed matrix multiplication (SDM...
Guess & Check (GC) codes are systematic binary codes that can correct
mu...
We study a class of private information retrieval (PIR) methods that we ...
We present the computational wiretap channel: Alice has some data x and ...
We study Private Information Retrieval with Side Information (PIR-SI) in...
We consider the problem of designing private information retrieval (PIR)...
We study private information retrieval (PIR) on coded data with possibly...
We consider the setting of a Master server, M, who possesses confidentia...