Imakura Akira
- Articles
- Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
Bogdanova Anna; Nakai Akie; Okada Yukihiko; Imakura Akir...
Proceedings of IJCAI 2020 International Workshop on Federated Learning for User Privacy and Data Confidentiality, 2021-01 - Accuracy and Privacy Evaluations of Collaborative Data Analysis
Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
Proceedings of AAAI-21 Workshop on Privacy-Preserving Artificial Intelligence, 2021-02 - 行列計算を用いた機械学習法
今倉 暁
オペレーションズ・リサーチ/65(6)/pp.310-316, 2020 - Accuracy and Privacy Evaluations of Collaborative Data Analysis
Imakura Akira
In: Proceedings of The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21), 2021 - An improvement of multigrid methods using multiple grids on each layer for parallel computing
Imakura Akira
Journal of Mathematical Research with Applications/41(1)/pp.87-98, 2021 - Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
Bogdanova A.; Nakai A.; Okada Yukihiko; Imakura A.; Sakur...
Proceedings of FL-IJCAI 2020/pp.1-7, 2021-01 - Ensemble Learning for Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Proceedings of the 20th IEEE International Conference on Data Mining (ICDM2020)/pp.1094-1099, 2020-11 - Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
Yano Takahiro; Futamura Yasunori; Akira Imakura; Sakurai ...
The International Conference on High Performance Computing in Asia-Pacific Region (PCAsia 2021)/pp.83-89, 2021-01 - Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks
Baek Suhyeon; Imakura Akira; Sakurai Tetsuya; Kataoka Ic...
Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.1-13, 2021-01 - Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.14-29, 2021-01 - Interpretable collaborative data analysis on distributed data
Imakura Akira; Inaba Hiroaki; Okada Yukihiko; Sakurai Te...
Expert Systems with Applications/177/p.114891, 2021-09 - 筑波大学における全学必修 のデータサイエンス教育
和田耕一; 佐久間淳; 平田 祥人; 福地一斗; 青砥隆仁; 五十嵐康彦; 今倉暁; Vasilache Simona Mi...
オペレーションズ・リサーチ/65(9)/pp.573-578, 2020-11 - Spectral Clustering Joint Deep Embedding Learning by Autoencoder
Ye Xiucai; Wang Chunhao; Imakura Akira; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2021)/pp.1-7, 2021-07 - Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides
Aihara K.; Imakura A.; Morikuni K.
arXiv/arXiv:2106.00284 [math.NA]/pp.1-20, 2021-06 - Decentralized learning with virtual patients for medical diagnosis of diabetes.
Yuta Takahashi; Han-ten Chang; Akie Nakai; Rina Kagawa; H...
SN Computer Science/2(239), 2021-04 - Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
Yano Takahiro; Futamura Yasunori; Imakura Akira; Sakurai ...
Proceedings of HPC Asia 2021: the International Conference on High Performance Computing in Asia-Pacific Region/pp.83-89, 2021-01 - Ensemble Learning for Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Proceeding of the 20th IEEE International Conference on Data Mining (ICDM2020)/pp.1094-1099, 2020-11 - Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
Imakura Akira; Ye Xiucai; Sakurai Tetsuya
Proceeding of the 2020 Principle and Practice of Data and Knowledge Acquisition Workshop (PKAW2020)/12280/pp.14-19, 2021-2 - 複数右辺ベクトルを持つシフト線形方程式に対する多項式前処理の有効性の検証
関川悠太; 二村保徳; 今倉暁; 櫻井 鉄也
日本応用数理学会論文誌/29/pp.141-164, 2019-03 - Scalable Eigen-analysis engine for large-scale eigenvalue problems,
Sakurai Tetsuya; Futamura Yasunori; Imakura Akira
Advanced Software Technologies for Post-Peta Scale Computing/pp.37-57, 2019-06 - Hubness-based Sampling Method for Nystrom Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2020), 2020-07 - An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps
Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
Neurocomputing/399/pp.107-116, 2020-07 - Multiclass spectral feature scaling method for dimensionality reduction
Matsuda M.; Morikuni Keiichi; Imakura A.; Ye X.; Sakurai T.
Intelligent Data Analysis/24(6)/pp.1273-1287, 2020-12 - Spectral anomaly detection in large graphs using a complex moment-based eigenvalue solver
Futamura Yasunori; Ye Xiucai; Imakura Akira; Sakurai Tet...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering/6(2), 2020-06 - Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems
Imakura A.; Morikuni K.; Takayasu A.
Journal of Computational and Applied Mathematics/369(1), 2019-10 - more...
- Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations