chaoyanghe / FedNASLinks
FedNAS: Federated Deep Learning via Neural Architecture Search
☆54Updated 4 years ago
Alternatives and similar repositories for FedNAS
Users that are interested in FedNAS are comparing it to the libraries listed below
Sorting:
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Code for the signSGD paper☆90Updated 4 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 5 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆146Updated 6 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆59Updated 7 years ago
- Federated Multi-Task Learning☆131Updated 7 years ago
- ☆46Updated 5 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Published in CVPR 2020☆37Updated 4 years ago
- Attentive Federated Learning for Private NLM☆60Updated last year
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆22Updated 3 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Updated last year
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- [ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.☆31Updated 5 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆225Updated last year
- Benchmarking Semi-supervised Federated Learning☆54Updated 3 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 6 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆31Updated last year
- ☆22Updated 4 years ago
- A Comprehensive and Versatile Open-Source Federated Learning Framework☆33Updated 2 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- A modular evaluation metrics and a benchmark for large-scale federated learning☆13Updated last year
- Simple Hierarchical Count Sketch in Python☆21Updated 4 years ago
- Sketched SGD☆28Updated 5 years ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 5 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 3 years ago