An open framework for Federated Learning.
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Updated
Aug 23, 2024 - Jupyter Notebook
An open framework for Federated Learning.
A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings
The code for the paper "Hybrid Decentralized Optimization: First- and Zeroth-Order Optimizers Can Be Jointly Leveraged For Faster Convergence"
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
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.
Simple Implementation of the CVPR 2024 Paper "JointSQ: Joint Sparsification-Quantization for Distributed Learning"
Swarm Learning project that investigate about swarms behaviour onto different attraction-repulsion profiles.
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.
(CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
This repository is the code basis for the paper titled "Balancing Privacy and Explainability in Federated Learning"
FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
Papers related to Federated Learning in all venue (dblp)
Extremely Randomized Trees with Privacy Preservation for Distributed Data (k-PPD-ERT)
Docker CLI package for the vantage6 infrastructure
[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
Distributed machine learning using processes
A Federated Learning based Android Malware Classification System
Sparse Convex Optimization Toolkit (SCOT)
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