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DBADBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
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federated pcaFederated Principal Component Analysis Revisited!
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FEDLFEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)
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federatedBachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data
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CRFLCRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
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FedScaleFedScale is a scalable and extensible open-source federated learning (FL) platform.
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FedDANEFedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
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DeML-GolemProof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture
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FedDASource code for 'Dual Attention Based FL for Wireless Traffic Prediction'
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easyFLAn experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
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PFL-Non-IIDThe origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…
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MOONModel-Contrastive Federated Learning (CVPR 2021)
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fedpaFederated posterior averaging implemented in JAX
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substraSubstra is a framework for traceable ML orchestration on decentralized sensitive data.
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pFedMePersonalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
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GrouProxFedGroup, A Clustered Federated Learning framework based on Tensorflow
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srijan-gsoc-2020Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers
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PyVerticalPrivacy Preserving Vertical Federated Learning
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flPapersPaper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary
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distributed-learning-contributivitySimulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
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