Alternatives and similar repositories for iclr2020_zeno_async:

Users that are interested in iclr2020_zeno_async are comparing it to the libraries listed below

• AI-secure / FLBenchmark-toolkit
  Federated Learning Framework Benchmark (UniFed)
  ☆49Updated last year
• JianiLi / resilientDistributedMTL
  Code for Neurips 2020 paper "Byzantine Resilient Distributed Multi-Task Learning"
  ☆9Updated 4 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆71Updated 3 years ago
• yanring / DGS
  Dual-way gradient sparsification approach for async DNN training, based on PyTorch.
  ☆11Updated 2 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
• zechenghe / Inverse_Collaborative_Inference
  ☆42Updated 3 years ago
• anonymousgit2020 / fedsem
  ☆26Updated 4 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 2 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated 8 months ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆33Updated 4 years ago
• Di-Chai / FedEval
  ☆42Updated 11 months ago
• shaoxiongji / fed-att
  Attentive Federated Learning for Private NLM
  ☆61Updated 8 months ago
• jiahuanluo / Federated-Benchmark
  A Benchmark of Real-world Image Dataset for Federated Learning
  ☆42Updated 5 years ago
• jiangyuang / ModelPruningLibrary
  ☆23Updated 3 years ago
• abbas5253 / SplitNN-for-Vertically-Partitioned-Data
  Integration of SplitNN for vertically partitioned data with OpenMined's PySyft
  ☆28Updated 4 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆55Updated last year
• mynameisvinn / federated-learning
  tf implementation of federated learning
  ☆41Updated 5 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆51Updated 10 months ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated last year
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆113Updated 4 years ago
• chaoyanghe / FedNAS
  FedNAS: Federated Deep Learning via Neural Architecture Search
  ☆54Updated 3 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• lusinlu / deep-gradient-compression
  Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
  ☆31Updated 4 years ago
• epfml / sparsifiedSGD
  Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
  ☆59Updated 6 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 4 years ago
• kiddyboots216 / CommEfficient
  PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
  ☆75Updated 3 years ago
• pasquini-dario / SplitNN_FSHA
  Privacy attacks on Split Learning
  ☆38Updated 3 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• omarfoq / communication-in-cross-silo-fl
  Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)
  ☆30Updated 2 years ago
• hclhkbu / GaussianK-SGD
  Understanding Top-k Sparsification in Distributed Deep Learning
  ☆24Updated 5 years ago