1 citations · 1 across the 4 of their papers we have counts for
8 papers
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…
Multi-User Blind Symmetric Private Information Retrieval from Coded Servers
Jinbao Zhu, Qifa Yan, Xiaohu Tang
The problem of Multi-user Blind -secure -colluding Symmetric Private Information Retrieval from Maximum Distance Separable (MDS) coded storage system with Byzantine and $…
Improved Constructions for Secure Multi-Party Batch Matrix Multiplication
Jinbao Zhu, Qifa Yan, Xiaohu Tang
This paper investigates the problem of Secure Multi-party Batch Matrix Multiplication (SMBMM), where a user aims to compute the pairwise products $\mathbf{A}\divideontimes\mathbf{B…
Capacity-Achieving Private Information Retrieval Schemes from Uncoded Storage Constrained Servers with Low Sub-packetization
Jinbao Zhu, Qifa Yan, Xiaohu Tang +1
This paper investigates reducing sub-packetization of capacity-achieving schemes for uncoded Storage Constrained Private Information Retrieval (SC-PIR) systems. In the SC-PIR syste…