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M

Min Li

chongqing university

H指数:3

被引数:31

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FedTrustAug: Federated sparse trust augmentation for service recommendation

FedTrustAug: 联邦稀疏信任增强的服务推荐

Engineering Applications of Artificial Intelligence

IF8

2025-12-080

PRE

Fog-driven communication-efficient and privacy-preserving federated learning based on compressed sensing

基于压缩感知的雾驱动通信高效且隐私保护的联邦学习

COMPUTER NETWORKS

IF4.6

2025-03-010

PRE

Adaptive compressed learning boosts both efficiency and utility of differentially private federated learning

SIGNAL PROCESSING

IF3.6

2025-02-010

PRE

Hierarchically Fair and Differentially Private Federated Learning in Industrial IoT Based on Compressed Sensing With Adaptive-Thresholding Sparsification

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

IF9.9

2024-12-010

PRE

Multilevel Privacy Preservation Scheme Based on Compressed Sensing

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

IF9.9

2023-06-016

PRE

Communication-Efficient and Byzantine-Robust Differentially Private Federated Learning

IEEE COMMUNICATIONS LETTERS

IF4.4

2022-08-015

PRE