subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
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Updated
Apr 29, 2024 - Jupyter Notebook
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
Breaching privacy in federated learning scenarios for vision and text
Handwritten Digit Classification using Federated Learning
[ICML 2023] Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
code for "Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence"
Decentralized and Privacy-Preserving Machine Learning: Exploring the Power of Federated Learning.
The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"
Investigating the reproducibility of federated GNN models
Device-to-Device (D2D) and assocaited Federated Learning simulation in Python using Pytorch for Learning operations. Implemented simultaneous operation of multiple FL modes.
source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
[IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, and Brian M. Sadler
pytorch implementation of Optimization as a Model for Few-shot Learning
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