Results 21 to 30 of about 60,487 (208)
LoRaWAN® Certification of devices is critical for effective and efficient mass deployment of LoRaWAN Networks, as it ensures devices will work on any network, under all conditions. Certified Devices significantly reduce the support costs as any product failures detected later when the device is deployed is far more expensive to repair and poor RF ...
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We introduce Vision as LoRA (VoRA), a novel paradigm for transforming an LLM into an MLLM. Unlike prevalent MLLM architectures that rely on external vision modules for vision encoding, VoRA internalizes visual capabilities by integrating vision-specific LoRA layers directly into the LLM.
Han Wang +7 more
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LoRA (Low-Rank Adaptation) has emerged as a preferred method for efficiently adapting Large Language Models (LLMs) with remarkable simplicity and efficacy. This note extends the original LoRA paper by offering new perspectives that were not initially discussed and presents a series of insights for deploying LoRA at scale.
Vlad Fomenko +4 more
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Implementation of a LoRa Mesh Library
This work was supported by the Ministry of Science and Innovation of the Spanish Government through the State Research Agency (AEI) under Project PID2019-106774RB-C21, Project PCI2019-111851-2 (LeadingEdge CHIST-ERA), and Project PCI2019-111850-2 (DiPET CHIST-ERA).
Miquel Solé, Joan +3 more
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Backdoored and privacy-leaking deep neural networks pose a serious threat to the deployment of machine learning systems in security-critical settings. Existing defenses for backdoor detection and membership inference typically require access to clean reference models, extensive retraining, or strong assumptions about the attack mechanism. In this work,
Marco Arazzi, Antonino Nocera
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En su discurso, el Sr. de Lora habla acerca de la futura prohibición de las corridas de toros como un espectáculo y felicita al Parlamento catalán por abrir la puerta a esta iniciativa. El Sr.
Lora, Pablo de +2 more
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LoRa Modulation for Split Learning
Accepted in 2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2023)
Martínez Gost, Marc +2 more
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OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web [PDF]
OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area.
Pareja-Lora, A.
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FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA
Federated LoRA provides a communication-efficient mechanism for fine-tuning large language models on decentralized data. In practice, however, a discrepancy between the factor-wise averaging used to preserve low rank and the mathematically correct aggregation of local updates can cause significant aggregation error and unstable training.
Haoran Zhang +3 more
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LoRa Communication Technology for IoT Applications
Low-power wide-area networks (LPWANs) represent a novel communication paradigm that will replace or complement traditional cellular and short-range wireless technologies in several applications.
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