activity
20172024
most citedAchievable Rate of Private Function Retrieval from MDS Coded Databases

29 citations · 84 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IT2024

Improved Capacity Outer Bound for Private Quadratic Monomial Computation

Karen M. Dæhli, Sarah A Obead, Hsuan-Yin Lin +1

In private computation, a user wishes to retrieve a function evaluation of messages stored on a set of databases without revealing the function's identity to the databases. Obead \…

cs.IT2023★ 6 cited

On the Capacity of Private Nonlinear Computation for Replicated Databases

Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes +1

We consider the problem of private computation (PC) in a distributed storage system. In such a setting a user wishes to compute a function of messages replicated across non…

cs.IT2023★ 2 cited

Single-Server Pliable Private Information Retrieval With Side Information

Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes

We study the problem of pliable private information retrieval with side information (PPIR-SI) for the single server case. In PPIR, the messages are partitioned into nonoverlapping…

cs.IT2022★ 1 cited

Pliable Private Information Retrieval

Sarah A. Obead, Jörg Kliewer

We formulate a new variant of the private information retrieval (PIR) problem where the user is pliable, i.e., interested in any message from a desired subset of the available data…

cs.IT2020★ 6 cited

Private Function Computation for Noncolluding Coded Databases

Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes +1

Private computation in a distributed storage system (DSS) is a generalization of the private information retrieval (PIR) problem. In such setting a user wishes to compute a functio…

cs.IT2019★ 5 cited

Private Polynomial Computation for Noncolluding Coded Databases

Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes +1

We consider private polynomial computation (PPC) over noncolluding coded databases. In such a setting a user wishes to compute a multivariate polynomial of degree at most over…

cs.IT2018★ 24 cited

Capacity of Private Linear Computation for Coded Databases

Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes +1

We consider the problem of private linear computation (PLC) in a distributed storage system. In PLC, a user wishes to compute a linear combination of messages stored in noncoll…

cs.IT2018★ 5 cited

Strong Coordination over Noisy Channels

Sarah A. Obead, Badri N. Vellambi, Jörg Kliewer

We study the problem of strong coordination of the actions of two nodes and that communicate over a discrete memoryless channel (DMC) such that the actions follow a prescri…

cs.IT2018★ 29 cited

Achievable Rate of Private Function Retrieval from MDS Coded Databases

Sarah A. Obead, Jörg Kliewer

We study the problem of private function retrieval (PFR) in a distributed storage system. In PFR the user wishes to retrieve a linear combination of messages stored in non-coll…

cs.IT2017★ 3 cited

Joint Coordination-Channel Coding for Strong Coordination over Noisy Channels Based on Polar Codes

Sarah A. Obead, Jörg Kliewer, Badri N. Vellambi

We construct a joint coordination-channel polar coding scheme for strong coordination of actions between two agents and , which communicate over a discrete m…

cs.IT2017★ 3 cited

Strong Coordination over Noisy Channels: Is Separation Sufficient?

Sarah A. Obead, Badri N. Vellambi, Jörg Kliewer

We study the problem of strong coordination of actions of two agents and that communicate over a noisy communication channel such that the actions follow a given joint prob…