FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
☆26Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for FedDANE
Users that are interested in FedDANE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tilted Empirical Risk Minimization (ICLR '21)☆62Nov 10, 2023Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- [ICLR 2023] Official JAX/Haiku implementation of the paper "Differentially Private Adaptive Optimization with Delayed Preconditioners"☆16Dec 14, 2022Updated 3 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆253Dec 2, 2023Updated 2 years ago
- Simulation codes for over-the-air federated learning via second-order optimization☆14Jan 27, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Salvaging Federated Learning by Local Adaptation☆56Jul 25, 2024Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆730Mar 24, 2023Updated 3 years ago
- ☆11Jul 21, 2024Updated last year
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆342Dec 5, 2021Updated 4 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆20Nov 30, 2021Updated 4 years ago
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆13May 31, 2021Updated 5 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Aug 3, 2023Updated 2 years ago
- Experiments for distributed optimization algorithms☆83May 24, 2023Updated 3 years ago
- Fast Topological Clustering with Wasserstein Distance (ICLR 2022)☆12Jun 24, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A modular evaluation metrics and a benchmark for large-scale federated learning☆12Jul 25, 2024Updated last year
- ☆10Jan 1, 2024Updated 2 years ago
- Federated Multi-Task Learning☆131Nov 11, 2018Updated 7 years ago
- Code for paper: Variance Reduced Local SGD with Lower Communication Complexity☆12May 20, 2020Updated 6 years ago
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Dec 27, 2022Updated 3 years ago
- ☆27Dec 15, 2022Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- vector quantization for stochastic gradient descent.☆36May 12, 2020Updated 6 years ago
- Sketched SGD☆28Jul 4, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- build vgg16 with pytorch 0.4.0 for classification of CIFAR datasets☆10Mar 31, 2019Updated 7 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆19Apr 27, 2022Updated 4 years ago
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation☆16Jul 13, 2020Updated 5 years ago
- SGD/ADAM/Amsgrad/AdamW/RAdam/Lookahead☆10Nov 18, 2019Updated 6 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆32Jun 16, 2022Updated 3 years ago
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆10Dec 8, 2022Updated 3 years ago
- Finetune and Inference Qwen3-0.6B.☆29May 5, 2025Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆166Jun 3, 2021Updated 5 years ago
- ☆21Oct 25, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆46Nov 24, 2020Updated 5 years ago
- ☆29Feb 4, 2021Updated 5 years ago
- ☆12Dec 7, 2016Updated 9 years ago
- Tensorflow ResNet implementation on cifar10☆13Aug 10, 2017Updated 8 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated last year
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆26Apr 25, 2018Updated 8 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆31Oct 10, 2022Updated 3 years ago