8 citations · 9 across the 3 of their papers we have counts for
9 papers
The Asymptotic Capacity of -Secure -Private Linear Computation with Graph Based Replicated Storage
Haobo Jia, Zhuqing Jia
The problem of -secure -private linear computation with graph based replicated storage (GXSTPLC) is to enable the user to retrieve a linear combination of messages privately…
Price of Precision in Coded Distributed Matrix Multiplication: A Dimensional Analysis
Junge Wang, Zhuqing Jia, Syed A. Jafar
Coded distributed matrix multiplication (CDMM) schemes, such as MatDot codes, seek efficient ways to distribute matrix multiplication task(s) to a set of distributed servers so…
-Secure -Private Federated Submodel Learning with Elastic Dropout Resilience
Zhuqing Jia, Syed A. Jafar
Motivated by recent interest in federated submodel learning, this work explores the fundamental problem of privately reading from and writing to a database comprised of files (…
Double Blind -Private Information Retrieval
Yuxiang Lu, Zhuqing Jia, Syed A. Jafar
Double blind -private information retrieval (DB-TPIR) enables two users, each of whom specifies an index (, resp.), to efficiently retrieve a message labe…
GCSA Codes with Noise Alignment for Secure Coded Multi-Party Batch Matrix Multiplication
Zhen Chen, Zhuqing Jia, Zhiying Wang +1
A secure multi-party batch matrix multiplication problem (SMBMM) is considered, where the goal is to allow a master to efficiently compute the pairwise products of two batches of m…
Cross Subspace Alignment Codes for Coded Distributed Batch Computation
Zhuqing Jia, Syed A. Jafar
Coded distributed batch computation distributes a computation task, such as matrix multiplication, -linear computation, or multivariate polynomial evaluation, across servers…