Alert button
Picture for Masatoshi Yoshikawa

Masatoshi Yoshikawa

Alert button

ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy

Aug 23, 2023
Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa

Figure 1 for ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Figure 2 for ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Figure 3 for ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Figure 4 for ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Viaarxiv icon

Local Differential Privacy Image Generation Using Flow-based Deep Generative Models

Dec 20, 2022
Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe

Figure 1 for Local Differential Privacy Image Generation Using Flow-based Deep Generative Models
Figure 2 for Local Differential Privacy Image Generation Using Flow-based Deep Generative Models
Figure 3 for Local Differential Privacy Image Generation Using Flow-based Deep Generative Models
Figure 4 for Local Differential Privacy Image Generation Using Flow-based Deep Generative Models
Viaarxiv icon

TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information

Apr 27, 2022
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa

Figure 1 for TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information
Figure 2 for TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information
Figure 3 for TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information
Figure 4 for TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information
Viaarxiv icon

Network Shuffling: Privacy Amplification via Random Walks

Apr 08, 2022
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa

Figure 1 for Network Shuffling: Privacy Amplification via Random Walks
Figure 2 for Network Shuffling: Privacy Amplification via Random Walks
Figure 3 for Network Shuffling: Privacy Amplification via Random Walks
Figure 4 for Network Shuffling: Privacy Amplification via Random Walks
Viaarxiv icon

OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment

Feb 16, 2022
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa

Figure 1 for OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment
Figure 2 for OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment
Figure 3 for OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment
Figure 4 for OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment
Viaarxiv icon

ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections

Sep 09, 2021
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa

Figure 1 for ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections
Figure 2 for ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections
Figure 3 for ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections
Figure 4 for ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections
Viaarxiv icon

Understanding the Interplay between Privacy and Robustness in Federated Learning

Jun 13, 2021
Yaowei Han, Yang Cao, Masatoshi Yoshikawa

Figure 1 for Understanding the Interplay between Privacy and Robustness in Federated Learning
Figure 2 for Understanding the Interplay between Privacy and Robustness in Federated Learning
Figure 3 for Understanding the Interplay between Privacy and Robustness in Federated Learning
Figure 4 for Understanding the Interplay between Privacy and Robustness in Federated Learning
Viaarxiv icon

Incentive Mechanism for Privacy-Preserving Federated Learning

Jun 08, 2021
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa

Figure 1 for Incentive Mechanism for Privacy-Preserving Federated Learning
Figure 2 for Incentive Mechanism for Privacy-Preserving Federated Learning
Figure 3 for Incentive Mechanism for Privacy-Preserving Federated Learning
Figure 4 for Incentive Mechanism for Privacy-Preserving Federated Learning
Viaarxiv icon

FLAME: Differentially Private Federated Learning in the Shuffle Model

Sep 17, 2020
Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa

Figure 1 for FLAME: Differentially Private Federated Learning in the Shuffle Model
Figure 2 for FLAME: Differentially Private Federated Learning in the Shuffle Model
Figure 3 for FLAME: Differentially Private Federated Learning in the Shuffle Model
Figure 4 for FLAME: Differentially Private Federated Learning in the Shuffle Model
Viaarxiv icon

P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model

Jun 22, 2020
Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa

Figure 1 for P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model
Figure 2 for P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model
Figure 3 for P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model
Figure 4 for P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model
Viaarxiv icon