An adaptive federated learning scheme with differential privacy preserving

Blockchain-Secured Smart Manufacturing in Industry 4.0: A Survey

(2021) Jiewu Leng et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A Randomized Block-Coordinate Adam online learning optimization algorithm

(2020) Yangfan Zhou et al.   NEURAL COMPUTING & APPLICATIONS

Dynamic allocation strategy of VM resources with fuzzy transfer learning method

(2020) Xiang Wu et al.   Peer-to-Peer Networking and Applications

Preserving Data Privacy via Federated Learning: Challenges and Solutions

(2020) Zengpeng Li et al.   IEEE Consumer Electronics Magazine

Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges

(2020) Solmaz Niknam et al.   IEEE COMMUNICATIONS MAGAZINE

Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

(2020) Nuria Rodríguez-Barroso et al.   Information Fusion

A Secure Federated Transfer Learning Framework

(2020) Yang Liu et al.   IEEE INTELLIGENT SYSTEMS

A Secure Federated Learning Framework for 5G Networks

(2020) Yi Liu et al.   IEEE WIRELESS COMMUNICATIONS

Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems

(2020) Moming Duan et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

A Time-Driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing

(2019) Bing Lin et al.   IEEE Transactions on Industrial Informatics

Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System

(2019) Baolin Yi et al.   IEEE Transactions on Industrial Informatics

Intelligent route planning on large road networks with efficiency and privacy

(2019) Qin Liu et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

(2019) Yunlong Lu et al.   IEEE Transactions on Industrial Informatics

Enabling Verifiable and Dynamic Ranked Search over Outsourced Data

(2019) Qin Liu et al.   IEEE Transactions on Services Computing

A stochastic multiple gradient descent algorithm

(2018) Quentin Mercier et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A Stochastic Control Approach to Maximize Profit on Service Provisioning for Mobile Cloudlet Platforms

(2018) Weiwei Fang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Preserving Privacy with Probabilistic Indistinguishability in Weighted Social Networks

(2017) Qin Liu et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis

(2017) Huanhuan Li et al.   SENSORS

A Structure Fidelity Approach for Big Data Collection in Wireless Sensor Networks

(2014) Mou Wu et al.   SENSORS

Information Entropy As a Basic Building Block of Complexity Theory

(2013) Jianbo Gao et al.   Entropy

JS-Reduce: Defending Your Data from Sequential Background Knowledge Attacks

(2012) Daniele Riboni et al.   IEEE Transactions on Dependable and Secure Computing