activity
20182026
most citedDistributed ADMM with Synergetic Communication and Computation

13 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Inverse-Reinforcement Learning Enabled Digital Twin for Intent-based Drone Networks

Jiahao Wang, Ruimin Yang, Hanzhi Yu +2

In this paper, the problem of the trajectory design for an intent-based drone operating in resource-constrained, dynamic wireless network environments is studied. In the considered…

cs.LG2024

TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data

Richeng Jin, Yujie Gu, Kai Yue +3

Distributed training of deep neural networks faces three critical challenges: privacy preservation, communication efficiency, and robustness to fault and adversarial behaviors. Alt…

cs.IT2024

Robustness in Wireless Distributed Learning: An Information-Theoretic Analysis

Yangshuo He, Guanding Yu, Huaiyu Dai

In recent years, the application of artificial intelligence (AI) in wireless communications has demonstrated inherent robustness against wireless channel distortions. Most existing…

eess.SP2020★ 13 cited

Distributed ADMM with Synergetic Communication and Computation

Zhuojun Tian, Zhaoyang Zhang, Jue Wang +3

In this paper, we propose a novel distributed alternating direction method of multipliers (ADMM) algorithm with synergetic communication and computation, called SCCD-ADMM, to reduc…

cs.IT2018

Enhancing Physical Layer Security for NOMA Transmission in mmWave Drone Networks

Nadisanka Rupasinghe, Yavuz Yapici, Ismail Guvenc +2

Physical layer security (PLS) is critically important for emerging wireless communication networks to maintain the confidentiality of the information of legitimate users. In this p…