9 papers
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…
Encoded Jamming Secure Communication for RIS-Assisted Systems
Hao Yang, Hao Xu, Kai Wan +2
This paper investigates a cooperative jamming (CJ)-aided secure wireless communication system. Conventional CJ schemes transmit Gaussian noise (GN) to improve security, which inher…
On Secure Gradient Coding with Uncoded Groupwise Keys
Xudong You, Kai Wan, Xiang Zhang +3
This paper considers a new secure gradient coding problem with uncoded groupwise keys, formalized as a (K, N, N_r, M, S) secure gradient coding model, where a user aims to compute…
On the Optimality of Hierarchical Secure Aggregation with Arbitrary Heterogeneous Data Assignment
Chenyi Sun, Ziting Zhang, Kai Wan +1
This paper studies the information theoretic secure aggregation problem in a three-layer hierarchical network with arbitrary heterogeneous data assignment, where clustered users co…
Information-Theoretic Secure Aggregation in Decentralized Networks
Xiang Zhang, Zhou Li, Shuangyang Li +3
Motivated by the increasing demand for data security in decentralized federated learning (FL) and stochastic optimization, we formulate and investigate the problem of information-t…
Information-Theoretic Decentralized Secure Aggregation with Passive Collusion Resilience
Xiang Zhang, Zhou Li, Shuangyang Li +3
In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across…