A quick library for Distributed Machine Learning which includes a matrix-math utils library built around CUDA kernels.
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Updated
Jan 21, 2024 - C++
A quick library for Distributed Machine Learning which includes a matrix-math utils library built around CUDA kernels.
A lightweight community-aware heterogeneous parameter server paradigm.
Framework that supports pipeline federated split learning with multiple hops.
Event-Triggered Communication in Parallel Machine Learning
GeoMX: A fast and unified system for distributed machine learning over geo-distributed data centers.
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