activity
20202025
most citedAn Efficient and Multi-private Key Secure Aggregation for Federated Learning

3 citations · 6 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IT2025

The Lee weight distributions of several classes of linear codes over

Zhexin Wang, Nian Li, Xiangyong Zeng +1

Let denote the ring of integers modulo . The Galois ring GR, which consists of elements, represents the Galois extension of degree over $\mathbb{…

cs.IT2025

On -Twisted Generalized Reed-Solomon Codes

Zhao Hu, Liang Wang, Nian Li +2

Twisted generalized Reed-Solomon (TGRS) codes are an extension of the generalized Reed-Solomon (GRS) codes by adding specific twists, which attract much attention recently. This pa…

cs.IT2025

Several classes of linear codes with few weights derived from Weil sums

Zhao Hu, Mingxiu Qiu, Nian Li +2

Linear codes with few weights have applications in secret sharing, authentication codes, association schemes and strongly regular graphs. In this paper, several classes of -weig…

cs.IT2023

In-depth analysis of S-boxes over binary finite fields concerning their differential and Feistel boomerang differential uniformities

Yuying Man, Sihem Mesnager, Nian Li +2

Substitution boxes (S-boxes) play a significant role in ensuring the resistance of block ciphers against various attacks. The Difference Distribution Table (DDT), the Feistel Boome…

cs.LG2023★ 1 cited

An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning

Cheng Yang, Xue Yang, Dongxian Wu +1

Communication overhead is one of the major challenges in Federated Learning(FL). A few classical schemes assume the server can extract the auxiliary information about training data…

cs.CR2023★ 3 cited

An Efficient and Multi-private Key Secure Aggregation for Federated Learning

Xue Yang, Zifeng Liu, Xiaohu Tang +2

With the emergence of privacy leaks in federated learning, secure aggregation protocols that mainly adopt either homomorphic encryption or threshold secret sharing have been widely…

cs.IT2023

New constructions of optimal linear codes from simplicial complexes

Zhao Hu, Yunge Xu, Nian Li +3

In this paper, we construct a large family of projective linear codes over from the general simplicial complexes of via the defining-set const…

cs.IT2022

The differential spectrum and boomerang spectrum of a class of locally-APN functions

Zhao Hu, Nian Li, Linjie Xu +2

In this paper, we study the boomerang spectrum of the power mapping over , where , is a prime, is a positive integer and $\gcd(k…

cs.LG2020★ 2 cited

An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning

Xue Yang, Yan Feng, Weijun Fang +4

Although federated learning improves privacy of training data by exchanging local gradients or parameters rather than raw data, the adversary still can leverage local gradients and…