Alat pengembang & sumber terbuka

JiangChSo/PFLM

Repositori GitHub publik, terutama memakai Jupyter Notebook.

Entri impor
01 / Kegunaan

Kegunaan

JiangChSo/PFLM adalah repositori GitHub publik, terutama memakai Jupyter Notebook. Snapshot terakhir yang disimpan mencatat 31 bintang dan 6 fork. Topik: blockchain, federated learning, membership, privacy preserving, privacy preserving machine learning. Baca dokumentasi, lisensi, dan issue terkini sebelum memakai perangkat lunaknya.

Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing practical privacy-preserving federated learning schemes are based on (t, N)-threshold secret sharing. Such schemes rely on a strong assumption to guarantee security: the threshold t must be greater than half of the number of users. The assumption is so rigorous that in some scenarios the schemes may not be appropriate. Motivated by the issue, we first introduce membership proof for federated learning, which leverages cryptographic accumulators to gen

Deskripsi proyek asli · GitHub
02 / GITHUB

Repositori GitHub

Bintang
31
Bintang bertambah · 7 hari
—
Fork
6
Bahasa utama
Jupyter Notebook
Lisensi repositori
Belum diperiksa
Push kode terakhir
9 Jun 2021

Popularitas dari bintang GitHub. Pertumbuhan 7 hari perlu sepekan cuplikan lokal. Ini koleksi kami, bukan tren resmi GitHub.

Sumber & kebaruan data

Sumber & kebaruan data

GitHub ↗Sumber diperbarui · 15 Okt 2026

Entri impor menautkan sumber. Entri membantu penemuan, bukan dukungan.

Cari di 1Bitcoin

Alat & panduan

Entri Hub