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Learning from History for Byzantine Robust Optimization
Byzantine robustness has received significant attention recently given i...
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Byzantine-Robust Learning on Heterogeneous Datasets via Resampling
In Byzantine robust distributed optimization, a central server wants to ...
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Secure Byzantine-Robust Machine Learning
Increasingly machine learning systems are being deployed to edge servers...
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Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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COLA: Communication-Efficient Decentralized Linear Learning
Decentralized machine learning is a promising emerging paradigm in view ...
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