12 citations · 29 across the 10 of their papers we have counts for
12 papers · 1 filter
Secure Aggregation with Top-K Sparsification in Decentralized Federated Learning
Hengxuan Tang, Jinbao Zhu, Xiaohu Tang
Secure aggregation is a vital component for mitigating gradient leakage in federated learning, but its communication cost conventionally scales with the gradient dimension. This be…
The Capacity of Information-Theoretic Secure Aggregation in Federated Learning
Lanxin Yi, Jinbao Zhu, Kai Wan +1
Secure aggregation allows a server to aggregate users' local updates while preserving update privacy. Existing information-theoretic problems typically assume that correlated rando…
A General Coding Framework for Adaptive Private Information Retrieval
Jinbao Zhu, Xiaohu Tang
The problem of -colluding private information retrieval (PIR) enables the user to retrieve one out of files from a distributed storage system with servers without reveal…
Private Multiple Linear Computation: A Flexible Communication-Computation Tradeoff
Jinbao Zhu, Lanping Li, Xiaohu Tang +1
We consider the problem of private multiple linear computation (PMLC) over a replicated storage system with colluding and unresponsive constraints. In this scenario, the user wishe…
Information-Theoretically Private Matrix Multiplication From MDS-Coded Storage
Jinbao Zhu, Songze Li, Jie Li
We study two problems of private matrix multiplication, over a distributed computing system consisting of a master node, and multiple servers that collectively store a family of pu…
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff for Resilient, Secure, and Private Computation
Jinbao Zhu, Hengxuan Tang, Songze Li +1
We consider the problem of evaluating arbitrary multivariate polynomials over a massive dataset containing multiple inputs, on a distributed computing system with a master node and…