most citedVertical Federated Learning: Concepts, Advances and Challenges

358 citations · 363 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2023★ 1 cited

6G Network Operation Support System

Ye Ouyang, Yaqin Zhang, Xiaozhou Ye +7

6G is the next-generation intelligent and integrated digital information infrastructure, characterized by ubiquitous interconnection, native intelligence, multi-dimensional percept…

cs.AI2023★ 1 cited

AIGC Empowering Telecom Sector White Paper_chinese

Ye Ouyang, Yaqin Zhang, Xiaozhou Ye +5

In the global craze of GPT, people have deeply realized that AI, as a transformative technology and key force in economic and social development, will bring great leaps and breakth…

cs.LG2023★ 2 cited

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Hao Wen, Yuanchun Li, Zunshuai Zhang +5

Deep learning models are increasingly deployed to edge devices for real-time applications. To ensure stable service quality across diverse edge environments, it is highly desirable…

cs.LG2022★ 358 cited

Vertical Federated Learning: Concepts, Advances and Challenges

Yang Liu, Yan Kang, Tianyuan Zou +6

Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with different features about the same set of users jointly train machine learning models w…

cs.NI2022★ 1 cited

Reinforcement Learning in Computing and Network Convergence Orchestration

Aidong Yang, Mohan Wu, Boquan Cheng +2

As computing power is becoming the core productivity of the digital economy era, the concept of Computing and Network Convergence (CNC), under which network and computing resources…

cs.NI2022

4G 5G Cell-level Multi-indicator Forecasting based on Dense-MLP

Jiacheng Yin, Wenwen Li, Xidong Wang +2

With the development of 4G/5G, the rapid growth of traffic has caused a large number of cell indicators to exceed the warning threshold, and network quality has deteriorated. It is…