Breaching privacy in federated learning scenarios for vision and text
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Updated
Apr 17, 2024 - Python
Breaching privacy in federated learning scenarios for vision and text
The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"
[ICML 2023] Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
[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
[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
Investigating the reproducibility of federated GNN models
[CVPR 2023] CaPriDe Learning: Confidential and Private Decentralized Learning based on Encryption-friendly Distillation Loss
Device-to-Device (D2D) and assocaited Federated Learning simulation in Python using Pytorch for Learning operations. Implemented simultaneous operation of multiple FL modes.
pytorch implementation of Optimization as a Model for Few-shot Learning
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