TY - INPR A1 - Song, Rui A1 - Zhou, Liguo A1 - Lyu, Lingjuan A1 - Festag, Andreas A1 - Knoll, Alois T1 - ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals UR - https://doi.org/10.48550/arXiv.2212.05602 Y1 - 2022 UR - https://doi.org/10.48550/arXiv.2212.05602 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Song, Rui A1 - Zhou, Liguo A1 - Lakshminarasimhan, Venkatnarayanan A1 - Festag, Andreas A1 - Knoll, Alois T1 - Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS T2 - 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) KW - Training KW - Deep learning KW - Data privacy KW - Federated learning KW - Roads KW - Computational modeling KW - Data models Y1 - 2022 SN - 978-1-6654-6880-0 SP - 3502 EP - 3508 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Zhou, Liguo A1 - Song, Rui A1 - Chen, Guang A1 - Festag, Andreas A1 - Knoll, Alois T1 - Residual encoding framework to compress DNN parameters for fast transfer JF - Knowledge-Based Systems UR - https://doi.org/10.1016/j.knosys.2023.110815 Y1 - 2023 UR - https://doi.org/10.1016/j.knosys.2023.110815 SN - 1872-7409 SN - 0950-7051 VL - 2023 IS - 277 PB - Elsevier CY - Amsterdam ER -