Laskaridis, Stefanos

8 publications

ICLRW 2025 NoEsis: A Modular LLM with Differentially Private Knowledge Transfer Rob Romijnders, Stefanos Laskaridis, Ali Shahin Shamsabadi, Hamed Haddadi

ICML 2024 Maestro: Uncovering Low-Rank Structures via Trainable Decomposition Samuel Horváth, Stefanos Laskaridis, Shashank Rajput, Hongyi Wang

ICMLW 2024 Mobile and Edge Evaluation of Large Language Models Stefanos Laskaridis, Kleomenis Katevas, Lorenzo Minto, Hamed Haddadi

ICML 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients Royson Lee, Javier Fernandez-Marques, Shell Xu Hu, Da Li, Stefanos Laskaridis, Łukasz Dudziak, Timothy Hospedales, Ferenc Huszár, Nicholas Donald Lane

NeurIPSW 2023 Maestro: Uncovering Low-Rank Structures via Trainable Decomposition Samuel Horváth, Stefanos Laskaridis, Shashank Rajput, Hongyi Wang

NeurIPSW 2022 Cross-Device Federated Architecture Search Stefanos Laskaridis, Javier Fernandez-Marques, Łukasz Dudziak

ECCV 2022 Multi-Exit Semantic Segmentation Networks Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas Lane

NeurIPS 2021 FjORD: Fair and Accurate Federated Learning Under Heterogeneous Targets with Ordered Dropout Samuel Horváth, Stefanos Laskaridis, Mario Almeida, Ilias Leontiadis, Stylianos Venieris, Nicholas Lane