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20212025
most citedMachine Learning for Large-Scale Optimization in 6G Wireless Networks

9 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2025

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers

Zhenhao Huang, Kai Liang, Yuanming Shi +2

In this paper, we investigate the transmission latency of the secure aggregation problem in a \emph{wireless} federated learning system with multiple curious servers. We propose a…

cs.CV2025

VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers

Ruanjun Li, Yuedong Tan, Yuanming Shi +1

This paper introduces VideoScan, an efficient vision-language model (VLM) inference framework designed for real-time video interaction that effectively comprehends and retains stre…

eess.SP2023

One-Bit Byzantine-Tolerant Distributed Learning via Over-the-Air Computation

Yuhan Yang, Youlong Wu, Yuning Jiang +1

Distributed learning has become a promising computational parallelism paradigm that enables a wide scope of intelligent applications from the Internet of Things (IoT) to autonomous…

eess.SP2023★ 9 cited

Machine Learning for Large-Scale Optimization in 6G Wireless Networks

Yandong Shi, Lixiang Lian, Yuanming Shi +6

The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from "connected things" to "connected intelligence", featured by ultra high density, large-sc…

cs.IT2021★ 2 cited

Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee

Yandong Shi, Hayoung Choi, Yuanming Shi +1

Massive access is a critical design challenge of Internet of Things (IoT) networks. In this paper, we consider the grant-free uplink transmission of an IoT network with a multiple-…