Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
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Updated
Jan 17, 2024 - Python
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pytorch/Tensorflow, single-machine/distributed, synchronized/asynchronous.
vector quantization for stochastic gradient descent.
[NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
Python module for simulating gossip learning.
Nerlnet is a distributed machine learning platform for experiments and IoT deployment.
🔨 使用Spark/Pytorch实现分布式算法,包括图/矩阵计算(graph/matrix computation)、随机算法、优化(optimization)和机器学习。参考刘铁岩《分布式机器学习》和CME 323课程
Atomo: Communication-efficient Learning via Atomic Sparsification
🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.
Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab
A PS ML training architecture with p4 programmable switches.
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
Distributed Neural Networks Training
[NeurIPS 2022] GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
[DCC 2020] DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression
distributed sgd implementation with tensorflow and mpi4py.
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