Reliable customer analysis using federated learning and exploring deep-attention edge intelligence

Privacy preserving distributed machine learning with federated learning

(2021) M.A.P. Chamikara et al.   COMPUTER COMMUNICATIONS

A Machine Learning Model for Data Sanitization

(2021) Usman Ahmed et al.   Computer Networks

ASRNN: A recurrent neural network with an attention model for sequence labeling

(2020) Jerry Chun-Wei Lin et al.   KNOWLEDGE-BASED SYSTEMS

A survey on security and privacy of federated learning

(2020) Viraaji Mothukuri et al.   Future Generation Computer Systems-The International Journal of eScience

Decentralized learning works: An empirical comparison of gossip learning and federated learning

(2020) István Hegedűs et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Deep Learning Versus Traditional Solutions for Group Trajectory Outliers

(2020) Asma Belhadi et al.   IEEE Transactions on Cybernetics

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

(2019) Giang Nguyen et al.   ARTIFICIAL INTELLIGENCE REVIEW

HUOPM: High-Utility Occupancy Pattern Mining

(2019) Wensheng Gan et al.   IEEE Transactions on Cybernetics

A Survey of Utility-Oriented Pattern Mining

(2019) Wensheng Gan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Distributed deep learning networks among institutions for medical imaging

(2018) Ken Chang et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Deep learning in biomedicine

(2018) Michael Wainberg et al.   NATURE BIOTECHNOLOGY

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

(2017) Vivienne Sze et al.   PROCEEDINGS OF THE IEEE