There are 0 repository under distributed-learning topic.
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
Papers related to Federated Learning in all top venues
A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
A Comprehensive and Versatile Open-Source Federated Learning Framework
Auto-Multilift is a novel learning framework for cooperative load transportation with quadrotors. It can automatically tune various MPC hyperparameters, which are modeled by DNNs and difficult to tune manually, via reinforcement learning in a distributed and closed-loop manner.
Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated Learning".
A Federated Learning based Android Malware Classification System
(CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
Simple Implementation of the CVPR 2024 Paper "JointSQ: Joint Sparsification-Quantization for Distributed Learning"
A federated learning simulator written in PyTorch, which supports a virtually unlimited number of clients.
FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries at NeurIPS'21
A script for training the ConvNextV2 on CIFAR10 dataset using the FSDP technique for a distributed training scheme.
Open-source solution for real-world cross-silo federated learning, primary focus on medical data
Official implementation of Deep Class Incremental Learning from Decentralized Data (IEEE TNNLS 22)
Federated Loss Exploration for Improved Convergence on Non-IID Data (https://arxiv.org/abs/2506.18640)
The code for the paper "Hybrid Decentralized Optimization: First- and Zeroth-Order Optimizers Can Be Jointly Leveraged For Faster Convergence"
Extremely Randomized Trees with Privacy Preservation for Distributed Data (k-PPD-ERT)
CD-GraB is a distributed gradient balancing framework that aims to find distributed data permutation with provably better convergence guarantees than Distributed Random Reshuffling (D-RR). https://arxiv.org/pdf/2302.00845.pdf.
This repository is the code basis of the paper intitled "The learning costs of Federated Learning in constrained scenarios"
Unofficial implementation of SignSGD to assess its robustness to adversaries.
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment