Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
L2M2 ("LLM Manager" → "LLMM" → "L2M2") is a tiny and very simple LLM manager for Python that exposes lots of models through a unified API. If you plan to use an API-based model, at least one of the ...
Abstract: Digital Twin for Vehicular Networks (DTVN) continuously simulates and optimizes vehicle behaviors to support emerging 6G Internet-of-Vehicle (IoV) applications such as DT-assisted autonomous ...
Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...
A Python library for generating unique, distributed IDs using a modified Snowflake algorithm. This library allows for easy generation of Snowflake IDs, encoding/decoding to Base62, and extracting ...
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