4 papers
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates
Kai Yue, Richeng Jin, Chau-Wai Wong +1
Federated learning (FL) enables decentralized machine learning without sharing raw data, allowing multiple clients to collaboratively learn a global model. However, studies reveal…
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles
Ferdous Pervej, Richeng Jin, Md Moin Uddin Chowdhury +3
Privacy-preserving distributed machine learning (ML) and aerial connected vehicle (ACV)-assisted edge computing have drawn significant attention lately. Since the onboard sensors o…
Distribution-Aware Mobility-Assisted Decentralized Federated Learning
Md Farhamdur Reza, Reza Jahani, Richeng Jin +1
Decentralized federated learning (DFL) has attracted significant attention due to its scalability and independence from a central server. In practice, some participating clients ca…
GSBA: - Geometric Score-based Black-box Attack
Md Farhamdur Reza, Richeng Jin, Tianfu Wu +1
Existing score-based adversarial attacks mainly focus on crafting -1 adversarial examples against classifiers with single-label classification. Their attack success rate and q…