C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning (IEEE MLSP 2022)
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Aug 6, 2022 - Python
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communication-efficient
Here are 9 public repositories matching this topic...
CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
generative-model resnet heterogeneity federated-learning communication-efficient stylegan colloboration vision-transformer domain-alignment stable-diffusion non-iid-data large-small-model
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Dec 22, 2024 - Python
AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
prototype resnet heterogeneity federated-learning communication-efficient colloboration contrastive-learning vision-transformer non-iid-data
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Dec 27, 2024 - Python
Atomo: Communication-efficient Learning via Atomic Sparsification
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Dec 9, 2018 - Python
[ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
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Oct 17, 2022 - Python
The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)
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Aug 20, 2019 - Python
A project that investigated, designed and evaluated different methods to reduce overall up-link communication (client -> server) during federated learning
deep-learning google-cloud-platform federated-learning communication-efficient tensorflow-federated-learning
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Jan 19, 2023 - Python
FedAnil++ is a Privacy-Preserving and Communication-Efficient Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil++ written in Python.
blockchain accuracy homomorphic-encryption privacy-preserving federated-learning privacy-preserving-machine-learning communication-efficient poisoning-attacks non-iid-data inference-attacks intelligent-enterprises
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Dec 13, 2024 - Python
Code for the paper "A Quadratic Synchronization Rule for Distributed Deep Learning"
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Mar 20, 2024 - Python
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