SamuelHorvath / Compressed_SGD_PyTorchLinks
Implementation of Compressed SGD with Compressed Gradients in Pytorch
☆13Updated last year
Alternatives and similar repositories for Compressed_SGD_PyTorch
Users that are interested in Compressed_SGD_PyTorch are comparing it to the libraries listed below
Sorting:
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- ☆22Updated 4 years ago
- A modular evaluation metrics and a benchmark for large-scale federated learning☆13Updated last year
- SCAFFOLD and FedAvg implementation☆60Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 5 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- Federated Learning package☆21Updated 4 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆22Updated 2 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 3 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Updated 4 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 6 years ago
- ☆54Updated 4 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆43Updated 3 years ago
- ☆23Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆92Updated 3 years ago
- Attentive Federated Learning for Private NLM☆60Updated last year
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Updated 4 years ago
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- Asynchronous Federated Learning☆19Updated 3 years ago
- ☆96Updated 3 years ago
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆12Updated 4 years ago
- Federated Multi-Task Learning☆132Updated 6 years ago
- Federated Dynamic Sparse Training☆31Updated 3 years ago