activity
20192023
most citedV2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection

11 citations · 18 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.CL2023

AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing

Asaad Alghamdi, Xinyu Duan, Wei Jiang +9

Developing monolingual large Pre-trained Language Models (PLMs) is shown to be very successful in handling different tasks in Natural Language Processing (NLP). In this work, we pr…

cs.LG2023★ 11 cited

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection

Rui Song, Lingjuan Lyu, Wei Jiang +2

Machine learning (ML) has revolutionized transportation systems, enabling autonomous driving and smart traffic services. Federated learning (FL) overcomes privacy constraints by tr…