Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...
Abstract: Federated Learning (FL) facilitates decentralized model training without the exchange of raw data, thereby guaranteeing privacy. However, due to its distributed nature, this paradigm is ...
As LLM applications evolve, conversation flows become increasingly complex. Conversations may branch into multiple paths, run in parallel, or require summarization across different threads. Managing ...
Abstract: Coarse-Grained Reconfigurable Architectures (CGRAs) have been the subject of extensive research due to their balance between performance, energy efficiency, and flexibility. CGRAs must be ...