Location: Room 405
Chair: Ruopeng Xu (Zhejiang University, China)
Multi-Tier Split Federated Learning for Multi-Level Personalization
Yeonwoo Choi (Kyung Hee University, Korea (South)); Dong-Jun Han (Yonsei University, Korea (South)); Christopher G.Brinton (Purdue University, USA); Minseok Choi (Kyung Hee University, Korea (South))
Clover GAI-IoV: Enabling Secure, Efficient, and High-Quality Generative AI in Vehicular Networks
Liang Ji (Jiangnan University, China); Yaru Fu (Hong Kong Metropolitan University, China); Guanghui Li (JiangnanUniversity, China); Ricky Yu Kwong Kwok (Hong Kong Metropolitan University, Hong Kong)
FedLoad: Adaptive Partial Training for Model Heterogeneous Federated Learning
Bruno S. Martins (University of Campinas, Brazil & University of Bern, Switzerland); Eric Samikwa and Torsten IngoBraun (University of Bern, Switzerland); Denis Lima Rosário (Federal University of Para, Brazil); Eduardo Cerqueira(Federal University of Para & UCLA & UFPA & UCLA, Brazil); Leandro Villas (University of Campinas, Brazil)
A Deep and Transfer Learning Approach for Handover Management in O-RAN
Ioannis Panitsas, Akrit Mudvari, Ali Maatouk and Leandros Tassiulas (Yale University, USA)
FLeXHO: A Federated Learning Based Inter-Cell Handover Optimisation for Open 6G RAN
Batuhan Akdogan (Istanbul Technical University, Turkey); Ibrahim Hokelek (Tubitak Bilgem, Turkey); Hakan Cirpan(Istanbul Technical University, Turkey)