activity
20222025
most citedSimilarity-based Label Inference Attack against Training and Inference of Split Learning

33 citations · 46 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

9 papers · 1 filter

cs.DC2025

FourierCompress: Layer-Aware Spectral Activation Compression for Efficient and Accurate Collaborative LLM Inference

Jian Ma, Xinchen Lyu, Jun Jiang +4

Collaborative large language model (LLM) inference enables real-time, privacy-preserving AI services on resource-constrained edge devices by partitioning computational workloads be…

cs.NI2025

Agile Orchestration at Will: An Entire Smart Service-Based Security Architecture Towards 6G

Zhuoran Duan, Guoshun Nan, Rushan Li +8

The upcoming 6G will fundamentally reshape mobile networks beyond communications, unlocking a multitude of applications that were once considered unimaginable. Meanwhile, security…

cs.LG2025★ 6 cited

Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning

Xiyu Zhao, Qimei Cui, Weicai Li +5

Personalized federated learning (PFL), e.g., the renowned Ditto, strikes a balance between personalization and generalization by conducting federated learning (FL) to guide persona…

cs.DC2025★ 2 cited

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams

Xiyu Zhao, Qimei Cui, Wei Ni +5

The timely exchange of information among robots within a team is vital, but it can be constrained by limited wireless capacity. The inability to deliver information promptly can re…

cs.DC2025★ 4 cited

Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling

Xiyu Zhao, Qimei Cui, Ziqiang Du +6

Personalized federated learning (PFL) offers a solution to balancing personalization and generalization by conducting federated learning (FL) to guide personalized learning (PL). L…

cs.LG2025

Two Is Better Than One: Rotations Scale LoRAs

Hongcan Guo, Guoshun Nan, Yuan Yang +9

Scaling Low-Rank Adaptation (LoRA)-based Mixture-of-Experts (MoE) facilitates large language models (LLMs) to efficiently adapt to diverse tasks. However, traditional gating mechan…

cs.CR2025

An LLM-based Self-Evolving Security Framework for 6G Space-Air-Ground Integrated Networks

Qi Qin, Xinye Cao, Guoshun Nan +8

Recently emerged 6G space-air-ground integrated networks (SAGINs), which integrate satellites, aerial networks, and terrestrial communications, offer ubiquitous coverage for variou…

eess.SP2025

Generative AI for Physical-Layer Authentication

Rui Meng, Xiqi Cheng, Song Gao +6

Recently, Artificial Intelligence (AI)-driven Physical-Layer Authentication (PLA), which focuses on achieving endogenous security and intelligent identity authentication, has attra…

cs.LG2025

SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices

Jian Ma, Xinchen Lyu, Jun Jiang +3

Fine-tuning large language models (LLMs) on private, on-device data can empower tailored personalized AI agents. However, fine-tuning LLMs on resource-constrained edge devices face…