7 citations · 9 across the 11 of their papers we have counts for
4 papers · 1 filter
Secret Sharing for Secure and Private Information Retrieval: A Construction Using Algebraic Geometry Codes
Okko Makkonen, David Karpuk, Camilla Hollanti
Private information retrieval (PIR) considers the problem of retrieving a data item from a database or distributed storage system without disclosing any information about which dat…
Algebraic Geometry Codes for Cross-Subspace Alignment in Private Information Retrieval
Okko Makkonen, David Karpuk, Camilla Hollanti
A new framework for interference alignment in secure and private information retrieval (PIR) from colluding servers is proposed, generalizing the original cross-subspace alignment…
Flexible Field Sizes in Secure Distributed Matrix Multiplication via Efficient Interference Cancellation
Okko Makkonen
In this paper, we propose a new secure distributed matrix multiplication (SDMM) scheme using the inner product partitioning. We construct a scheme with a minimal number of workers…
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data
Okko Makkonen, Sampo Niemelä, Camilla Hollanti +1
This work focuses on the challenges of non-IID data and stragglers/dropouts in federated learning. We introduce and explore a privacy-flexible paradigm that models parts of the cli…