2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.IT2024
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…
cs.LG2024
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…
cs.IT2023★ 2 cited
Algebraic Geometry Codes for Secure Distributed Matrix Multiplication
Okko Makkonen, Elif Saçıkara, Camilla Hollanti
In this paper, we propose a novel construction for secure distributed matrix multiplication (SDMM) based on algebraic geometry (AG) codes, which we call the PoleGap SDMM scheme. Th…