Those design questions also apply to unified multimodal models (UMMs), which support multiple modalities and tasks within a shared architecture. FedUMM, developed through a collaboration between William & Mary and NVIDIA, provides a concrete example by federating lightweight adapters over a frozen multimodal backbone.
FedUMM is supported by the NVIDIA Academic Grant Program, and received an Outstanding Student Paper Award at the FL@FM workshop at TheWebConf 2026.
miercuri, 2 septembrie 2026
News : How mobility gives language models a deeper understanding of place.
To demonstrate this complementary capability, we introduce Mobility-Embedded POIs (ME-POIs), a novel framework that improves text-based place representations derived by language models. Using publicly available benchmark datasets, ME-POIs incorporates aggregated and anonymized mobility patterns, such as arrival times, stay durations, and surrounding movement patterns.
See the official website.
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