1 citations · 1 across the 9 of their papers we have counts for
10 papers
Distributed Dynamic Invariant Causal Prediction in Environmental Time Series
Ziruo Hao, Tao Yang, Xiaofeng Wu +1
The extraction of invariant causal relationships from time series data with environmental attributes is critical for robust decision-making in domains such as climate science and e…
Invariant Federated Learning for Edge Intelligence: Mitigating Heterogeneity and Asynchrony via Exit Strategy and Invariant Penalty
Ziruo Hao, Zhenhua Cui, Tao Yang +3
This paper provides an invariant federated learning system for resource-constrained edge intelligence. This framework can mitigate the impact of heterogeneity and asynchrony via ex…
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
Zhiyin Li, Yubo Yang, Tao Yang +3
Federated learning enables distributed model training across clients without raw data exchange, but in wireless implementations, frequent parameter updates cause high communication…
Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing
Yubo Yang, Tao Yang, Xiaofeng Wu +2
UAV swarms are widely used in emergency communications, area monitoring, and disaster relief. Coordinated by control centers, they are ideal for federated learning (FL) frameworks.…
Drift-Aware Federated Learning: A Causal Perspective
Yunjie Fang, Sheng Wu, Tao Yang +2
Federated learning (FL) facilitates collaborative model training among multiple clients while preserving data privacy, often resulting in enhanced performance compared to models tr…
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence
Ziruo Hao, Zhenhua Cui, Tao Yang +3
Federated learning (FL) has provided a new methodology for coordinating a group of clients to train a machine learning model collaboratively, bringing an efficient paradigm in edge…
UAV-Assisted Multi-Task Federated Learning with Task Knowledge Sharing
Yubo Yang, Tao Yang, Xiaofeng Wu +1
The rapid development of Unmanned aerial vehicles (UAVs) technology has spawned a wide variety of applications, such as emergency communications, regional surveillance, and disaste…
Doppler-Resilient Universal Filtered MultiCarrier (DR-UFMC): A Beyond-OTFS Modulation
Carmen D'Andrea, Stefano Buzzi, Maria Fresia +1
In the past few years, some alternatives to the Orthogonal Frequency Division Multiplexing (OFDM) modulation have been considered to improve its spectral containment and its perfor…
Multi-UE Multi-AP Beam Alignment in User-Centric Cell-Free Massive MIMO Systems Operating at mmWave
Stefano Buzzi, Carmen D'Andrea, Maria Fresia +1
This paper considers the problem of beam alignment in a cell-free massive MIMO deployment with multiple access points (APs) and multiple user equipments (UEs) simultaneously operat…
Beam Alignment in mmWave User-Centric Cell-Free Massive MIMO Systems
Stefano Buzzi, Carmen D'Andrea, Maria Fresia +1
The problem of beam alignment (BA) in a cell-free massive multiple-input multiple-output (CF-mMIMO) system operating at millimeter wave (mmWaves) carrier frequencies is considered…