Distributed Traffic Synthesis and Classification in Edge Networks: A
Federated Self-supervised Learning Approach

Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach

1 February 2023

Diep N. Nguyen

Dusit Niyato

Papers citing "Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach"

6 / 6 papers shown

Title
Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach Yong Xiao Guangming Shi Ping Zhang AI4CE 67 0 0 20 Mar 2025
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 45 10 0 07 May 2024
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning Yong Xiao Zijian Sun Guangming Shi Dusit Niyato 16 31 0 28 Oct 2022
Adversarial Masking for Self-Supervised Learning Yuge Shi N. Siddharth Philip H. S. Torr Adam R. Kosiorek SSL 46 82 0 31 Jan 2022
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence Aaqib Saeed Flora D. Salim T. Ozcelebi J. Lukkien FedML SSL 93 98 0 25 Jul 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,680 0 14 Apr 2018