Implementation of Local Updates Periodic Averaging (LUPA) SGD
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Dec 25, 2019 - Python
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local-sgd
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In this work, we developed a novel algorithm named divergence-based adaptive aggregation (DRAG) to deal with the client-drift effect. Additionally, the DRAG algorithm also showcases resilience against byzantine attacks, as demonstrated through experiments.
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Dec 21, 2024 - Python
Distributed Optimization Methods for Machine Learning
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Dec 26, 2021 - Jupyter Notebook
This work is a journal paper published at The Journal of Supercomputing in 2023, focusing on improving communication efficiency of a distributed learning system using age-based worker selection techniques.
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Dec 19, 2024 - Python
This work is a journal paper published at IEEE TSP in 2024, concentrating on improving the robustness to stragglers in distributed/federated learning with synchronous local SGD.
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Dec 19, 2024 - Python
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