[HTML][HTML] Blockchained Trustable Federated Learning Utilizing Voting Accountability for Malicious Actor Mitigation
B Stanley, SG Lee, EN Witanto - Applied Sciences, 2023 - mdpi.com
The federated learning (FL) approach in machine learning preserves user privacy during
data collection. However, traditional FL schemes still rely on a centralized server, making …
data collection. However, traditional FL schemes still rely on a centralized server, making …
Blockchained Trustable Federated Learning Utilizing Voting Accountability for Malicious Actor Mitigation
B Stanley, L Sang-Gon, EN Witanto - Applied Sciences, 2023 - search.proquest.com
The federated learning (FL) approach in machine learning preserves user privacy during
data collection. However, traditional FL schemes still rely on a centralized server, making …
data collection. However, traditional FL schemes still rely on a centralized server, making …
[PDF][PDF] Blockchained Trustable Federated Learning Utilizing Voting Accountability for Malicious Actor Mitigation
B Stanley, SG Lee, EN Witanto - Appl. Sci, 2023 - pdfs.semanticscholar.org
The federated learning (FL) approach in machine learning preserves user privacy during
data collection. However, traditional FL schemes still rely on a centralized server, making …
data collection. However, traditional FL schemes still rely on a centralized server, making …
Blockchained Trustable Federated Learning Utilizing Voting Accountability for Malicious Actor Mitigation.
B Stanley, SG Lee, EN Witanto - Applied Sciences (2076 …, 2023 - search.ebscohost.com
The federated learning (FL) approach in machine learning preserves user privacy during
data collection. However, traditional FL schemes still rely on a centralized server, making …
data collection. However, traditional FL schemes still rely on a centralized server, making …