Learned parameter compression for efficient and privacy-preserving federated learning
Federated learning (FL) performs collaborative training of deep learning models among
multiple clients, safeguarding data privacy, security, and legal adherence by preserving …
multiple clients, safeguarding data privacy, security, and legal adherence by preserving …
[PDF][PDF] Learned Model Compression for Efficient and Privacy-Preserving Federated Learning
Federated learning (FL) performs collaborative training of deep learning models among
multiple clients, safeguarding data privacy, security, and legal adherence by preserving …
multiple clients, safeguarding data privacy, security, and legal adherence by preserving …
[PDF][PDF] Communication-efficient and privacy-preserving decentralized training of deep learning models
Y Chen - 2024 - researchportal.vub.be
Artificial Intelligence (AI) serves as the overarching field that aims to replicate human-like
cognitive abilities in machines, and within AI, Machine Learning (ML) provides the key …
cognitive abilities in machines, and within AI, Machine Learning (ML) provides the key …