[arXiv] Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations
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Updated
Jan 29, 2024 - Python
[arXiv] Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations
Master-slave distributed system that works together to speed up the kNN classification.
This is repository for DAIG backend development
[ICME 2023] Semi-Supervised Federated Learing for Keyword Spotting
A collection of hand-made distributed (except for 1) machine learning architectures
😂Distributed optimizer implemented with TensorFlow MPI operation
distributed sgd implementation with tensorflow and mpi4py.
Robust P2P Personalized Learning
[DCC 2020] DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression
Implementation of asynchronous federated learning in flower.
Distributed Neural Networks Training
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
[NeurIPS 2022] GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
A PS ML training architecture with p4 programmable switches.
Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab
🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.
Atomo: Communication-efficient Learning via Atomic Sparsification
🔨 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
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