Danyang Xiao

EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments

Bokai Cao, Weigang Wu, Danyang Xiao, 2022, IEEE International Joint Conference on Neural Network.

PFL-MoE: Personalized Federated Learning Based on Mixture of Experts pdf

Weigang Wu, Binbin Guo, Yuan Mei, 2020, APWeb/WAIM.

Efficient DNN training based on backpropagation parallelization

Weigang Wu, Danyang Xiao, Chengang Yang, 2022, Computing.

Entropy-Based Gradient Compression for Distributed Deep Learning

Weigang Wu, Danyang Xiao, Di Kuang, 2019, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

Mixing Activations and Labels in Distributed Training for Split Learning

Weigang Wu, Danyang Xiao, Chengang Yang, 2021, IEEE Transactions on Parallel and Distributed Systems.

EGC: Entropy-based gradient compression for distributed deep learning

Weigang Wu, Yuan Mei, Binbin Guo, 2021, Inf. Sci..

RTGA: Robust ternary gradients aggregation for federated learning

Bokai Cao, Weigang Wu, Danyang Xiao, 2022, Inf. Sci..

Communication-Efficient Cluster Federated Learning in Large-scale Peer-to-Peer Networks

Zilong Wang, Jiawei Chen, Qian Chen, 2022, ArXiv.

Learning Scheduling Policies for Co-Located Workloads in Cloud Datacenters

Danyang Xiao, Jialun Li, Jieqian Yao, 2023, IEEE Transactions on Cloud Computing.