Tootfinder

Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems
Sadina Kadakkottiri, Narisetty Harish, Nujoom Sageer Karat, Deepthi Paramel Pattathil, Balaji Sundar Rajan
https://arxiv.org/abs/2507.00643

Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems
Federated Learning is a promising option for data privacy and security in ITS, because it allows edge devices, Road Side Units (RSUs), and Central Server (CS) to jointly train the machine learning model. Since RSU collects data from the vehicles passing through its range, the local data of each RSU will have a non-IID distribution, which adversely affects the convergence speed and accuracy of FL training. Generating synthetic data locally at individual nodes, followed by data shuffling among th…