Danyang Xiao

Orcid: 0000-0001-6798-9683

According to our database1, Danyang Xiao authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
EvoGWP: Predicting Long-Term Changes in Cloud Workloads Using Deep Graph-Evolution Learning.
IEEE Trans. Parallel Distributed Syst., March, 2024

Privacy Leakage from Logits Attack and its Defense in Federated Distillation.
Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2023
Learning Scheduling Policies for Co-Located Workloads in Cloud Datacenters.
IEEE Trans. Cloud Comput., 2023

FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

HoME: Homogeneity-Mining-Based Embedding Towards Detecting Illicit Transactions on Bitcoin.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
Mixing Activations and Labels in Distributed Training for Split Learning.
IEEE Trans. Parallel Distributed Syst., 2022

Iteration number-based hierarchical gradient aggregation for distributed deep learning.
J. Supercomput., 2022

RTGA: Robust ternary gradients aggregation for federated learning.
Inf. Sci., 2022

Efficient DNN training based on backpropagation parallelization.
Computing, 2022

EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
EGC: Entropy-based gradient compression for distributed deep learning.
Inf. Sci., 2021

FedVF: Personalized Federated Learning Based on Layer-wise Parameter Updates with Variable Frequency.
Proceedings of the IEEE International Performance, 2021

PFL-MoE: Personalized Federated Learning Based on Mixture of Experts.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts.
CoRR, 2020

Dual-Way Gradient Sparsification for Asynchronous Distributed Deep Learning.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019
Entropy-Based Gradient Compression for Distributed Deep Learning.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018
GA-ADE: a novel approach based on graph algorithm to improves the detection of adverse drug events.
Multim. Tools Appl., 2018

A Semi-Supervised Network Embedding Model for Protein Complexes Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Implementation of Academic News Recommendation System Based on User Profile and Message Semantics.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

2016
A novel feature selection strategy for friends recommendation.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

PCMiner: An Extensible System for Analysing and Detecting Protein Complexes.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016


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