From federated learning to federated neural architecture search: a survey

A Secure Federated Transfer Learning Framework

(2020) Yang Liu et al.   IEEE INTELLIGENT SYSTEMS

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification

(2020) Yanan Sun et al.   IEEE Transactions on Cybernetics

BlockQNN: Efficient Block-Wise Neural Network Architecture Generation

(2020) Zhao Zhong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Ternary Compression for Communication-Efficient Federated Learning

(2020) Jinjin Xu et al.   IEEE Transactions on Neural Networks and Learning Systems

Federated Machine Learning

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

A survey of swarm and evolutionary computing approaches for deep learning

(2019) Ashraf Darwish et al.   ARTIFICIAL INTELLIGENCE REVIEW

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor

(2019) Yanan Sun et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Evolving Deep Convolutional Neural Networks for Image Classification

(2019) Yanan Sun et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Completely Automated CNN Architecture Design Based on Blocks

(2019) Yanan Sun et al.   IEEE Transactions on Neural Networks and Learning Systems

Multi-Objective Evolutionary Federated Learning

(2019) Hangyu Zhu 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

IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems

(2018) Yanan Sun et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

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

Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems

(2017) Handing Wang et al.   IEEE Transactions on Cybernetics

Taking the Human Out of the Loop: A Review of Bayesian Optimization

(2016) Bobak Shahriari et al.   PROCEEDINGS OF THE IEEE

Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization

(2015) Handing Wang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Surrogate-assisted evolutionary computation: Recent advances and future challenges

(2011) Yaochu Jin   Swarm and Evolutionary Computation

A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks

(2009) Kenneth O. Stanley et al.   ARTIFICIAL LIFE

Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies

(2008) Yaochu Jin et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE