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2020 – today
- 2024
[j8]Jialun Li
, Jieqian Yao, Danyang Xiao, Diying Yang, Weigang Wu:
EvoGWP: Predicting Long-Term Changes in Cloud Workloads Using Deep Graph-Evolution Learning. IEEE Trans. Parallel Distributed Syst. 35(3): 499-516 (2024)- [c12]Danyang Xiao, Diying Yang, Jialun Li, Xu Chen, Weigang Wu:
Privacy Leakage from Logits Attack and its Defense in Federated Distillation. DSN 2024: 169-182 - 2023
- [j7]Jialun Li, Danyang Xiao, Jieqian Yao, Yujie Long, Weigang Wu:
Learning Scheduling Policies for Co-Located Workloads in Cloud Datacenters. IEEE Trans. Cloud Comput. 11(4): 3725-3736 (2023) - [c11]Zitian Chen, Guang Li, Danyang Xiao, Weigang Wu, Jieying Zhou:
HoME: Homogeneity-Mining-Based Embedding Towards Detecting Illicit Transactions on Bitcoin. APWeb-WAIM (1) 2023: 422-436 - [c10]Jun Nie, Danyang Xiao, Lei Yang, Weigang Wu:
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning. MSN 2023: 544-552 - [i2]Jun Nie, Danyang Xiao, Lei Yang, Weigang Wu:
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning. CoRR abs/2307.08574 (2023) - 2022
- [j6]Danyang Xiao, Chengang Yang, Weigang Wu:
Efficient DNN training based on backpropagation parallelization. Computing 104(11): 2431-2451 (2022) - [j5]Chengang Yang, Danyang Xiao, Bokai Cao, Weigang Wu:
RTGA: Robust ternary gradients aggregation for federated learning. Inf. Sci. 616: 427-443 (2022) - [j4]Danyang Xiao, Xinxin Li, Jieying Zhou, Yunfei Du, Weigang Wu:
Iteration number-based hierarchical gradient aggregation for distributed deep learning. J. Supercomput. 78(4): 5565-5587 (2022) - [j3]Danyang Xiao, Chengang Yang, Weigang Wu:
Mixing Activations and Labels in Distributed Training for Split Learning. IEEE Trans. Parallel Distributed Syst. 33(11): 3165-3177 (2022) - [c9]Danyang Xiao, Bokai Cao, Weigang Wu:
EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments. IJCNN 2022: 1-10 - 2021
- [j2]Danyang Xiao, Yuan Mei, Di Kuang, Mengqiang Chen, Binbin Guo, Weigang Wu:
EGC: Entropy-based gradient compression for distributed deep learning. Inf. Sci. 548: 118-134 (2021) - [c8]Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu:
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts. APWeb/WAIM (1) 2021: 480-486 - [c7]Yuan Mei, Binbin Guo, Danyang Xiao, Weigang Wu:
FedVF: Personalized Federated Learning Based on Layer-wise Parameter Updates with Variable Frequency. IPCCC 2021: 1-9 - 2020
- [c6]Zijie Yan, Danyang Xiao, Mengqiang Chen, Jieying Zhou, Weigang Wu:
Dual-Way Gradient Sparsification for Asynchronous Distributed Deep Learning. ICPP 2020: 49:1-49:10 - [i1]Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu, Ye Yin, Hongli Chang:
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts. CoRR abs/2012.15589 (2020)
2010 – 2019
- 2019
- [c5]Di Kuang, Mengqiang Chen, Danyang Xiao, Weigang Wu:
Entropy-Based Gradient Compression for Distributed Deep Learning. HPCC/SmartCity/DSS 2019: 231-238 - 2018
- [j1]Xingcheng Wu, Jia Zhu, Danyang Xiao, Xueqin Lin, Rui Ding:
GA-ADE: a novel approach based on graph algorithm to improves the detection of adverse drug events. Multim. Tools Appl. 77(3): 3493-3507 (2018) - [c4]Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen:
A Semi-Supervised Network Embedding Model for Protein Complexes Detection. AAAI 2018: 8185-8186 - 2017
- [c3]Weiling Li, Yong Tang, Guohua Chen, Danyang Xiao, Chengzhe Yuan:
Implementation of Academic News Recommendation System Based on User Profile and Message Semantics. ISICA (1) 2017: 531-540 - 2016
- [c2]Danyang Xiao, Jia Zhu, Yong Tang, Lingxiao Chen, Jingmin Wei:
PCMiner: An Extensible System for Analysing and Detecting Protein Complexes. APWeb (2) 2016: 529-532 - [c1]Rui Ding, Jia Zhu, Yong Tang, Xueqin Lin, Danyang Xiao, Haoye Dong:
A novel feature selection strategy for friends recommendation. CSCWD 2016: 123-128
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last updated on 2024-10-10 22:15 CEST by the dblp team
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