Alternatives and similar repositories for PrivML:

Users that are interested in PrivML are comparing it to the libraries listed below

• AI-secure / FLBenchmark-toolkit
  Federated Learning Framework Benchmark (UniFed)
  ☆49Updated last year
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 2 years ago
• Di-Chai / FedEval
  ☆42Updated last year
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆56Updated 2 years ago
• lainisourgod / hybrid-approach-to-ppfl
  This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)
  ☆21Updated 4 years ago
• Xtra-Computing / FedSim
  A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)
  ☆26Updated 2 years ago
• jiahuanluo / Federated-Benchmark
  A Benchmark of Real-world Image Dataset for Federated Learning
  ☆42Updated 5 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆51Updated 11 months ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆73Updated 3 years ago
• mtang724 / Self-Balancing-Federated-Learning
  Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"
  ☆46Updated last year
• kevinhsieh / non_iid_dml
  ☆29Updated 4 years ago
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆45Updated last year
• crownpku / federated_shap
  Code for paper "Interpret Federated Learning with Shapley Values"
  ☆39Updated 5 years ago
• FumiyukiKato / FL-attacks-papers
  A list of papers using/about Federated Learning especially malicious client and attacks.
  ☆12Updated 4 years ago
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆31Updated 5 years ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated last year
• QinbinLi / FedKT
  Practical One-Shot Federated Learning for Cross-Silo Setting
  ☆42Updated 3 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 4 years ago
• eceisik / ece_fl_public
  ☆53Updated 3 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 3 years ago
• tanjuntao / VFL_paper_list
  vertical federated learning paper lists
  ☆75Updated 4 years ago
• datafleets / horizontal-federated-learning-blog
  Code for Horizontal Federated Learning blog around Credit Scoring
  ☆10Updated 4 years ago
• dual-grp / FedU_FMTL
  ☆17Updated 4 years ago
• Xtra-Computing / SOFF
  ☆19Updated last year
• anonymousgit2020 / fedsem
  ☆26Updated 5 years ago
• woodyx218 / Deep-Learning-with-GDP-Pytorch
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆33Updated 4 years ago
• BorjaBalle / amplification-by-shuffling
  Implementation of calibration bounds for differential privacy in the shuffle model
  ☆22Updated 4 years ago
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆62Updated 4 years ago
• jessijzhao / FedCD
  FedCD: Improving Performance in non-IID Federated Learning
  ☆13Updated 4 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago