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 ...
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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 ...
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