Federated learning on non-IID data: A survey

From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

(2021) Seyyedali Hosseinalipour et al.   IEEE COMMUNICATIONS MAGAZINE

A survey on federated learning

(2021) Chen Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Deep Learning for Monocular Depth Estimation: A Review.

(2021) Yue Ming et al.   NEUROCOMPUTING

From federated learning to federated neural architecture search: a survey

(2021) Hangyu Zhu et al.   Complex & Intelligent Systems

Multi-objective search of robust neural architectures against multiple types of adversarial attacks

(2021) Jia Liu et al.   NEUROCOMPUTING

A federated data-driven evolutionary algorithm

(2021) Jinjin Xu et al.   KNOWLEDGE-BASED SYSTEMS

Distributed additive encryption and quantization for privacy preserving federated deep learning

(2021) Hangyu Zhu et al.   NEUROCOMPUTING

A Survey on Federated Learning for Resource-Constrained IoT Devices

(2021) Ahmed Imteaj et al.   IEEE Internet of Things Journal

Decentralized Federated Learning via Mutual Knowledge Transfer

(2021) Chengxi Li et al.   IEEE Internet of Things Journal

Real-Time Federated Evolutionary Neural Architecture Search

(2021) Hangyu Zhu et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip

(2020) Nianyin Zeng et al.   NEUROCOMPUTING

A Secure Federated Transfer Learning Framework

(2020) Yang Liu et al.   IEEE INTELLIGENT SYSTEMS

Privacy preserving vertical federated learning for tree-based models

(2020) Yuncheng Wu et al.   Proceedings of the VLDB Endowment

Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance

(2020) Haoyu Zhang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

A competitive mechanism integrated multi-objective whale optimization algorithm with differential evolution

(2020) Nianyin Zeng et al.   NEUROCOMPUTING

Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data

(2019) Po Yang et al.   ACM Transactions on Intelligent Systems and Technology

Multi-Objective Evolutionary Federated Learning

(2019) Hangyu Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT

(2019) Jed Mills et al.   IEEE Internet of Things Journal

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

(2019) Felix Sattler et al.   IEEE Transactions on Neural Networks and Learning Systems

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

(2019) Yang Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

(2018) Le Trieu Phong et al.   IEEE Transactions on Information Forensics and Security

Overcoming catastrophic forgetting in neural networks

(2017) James Kirkpatrick et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Challenges in Data Crowdsourcing

(2016) Hector Garcia-Molina et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Parallel distributed computing using Python

(2011) Lisandro D. Dalcin et al.   ADVANCES IN WATER RESOURCES

MPI for Python: Performance improvements and MPI-2 extensions

(2007) Lisandro Dalcín et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING