Stefanos Laskaridis

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Poses Unique Challenges

Semantic Segmentation

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Stefanos Laskaridis, Kleomenis Katevas, Lorenzo Minto, Hamed Haddadi
MELTing point: Mobile Evaluation of Language Transformers. CoRR (2024)
Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam Tailor
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR (2024)
Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR (2024)
Samuel Horváth, Stefanos Laskaridis, Shashank Rajput, Hongyi Wang
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition. CoRR (2023)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs. CoRR (2022)
Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane
The Future of Consumer Edge-AI Computing. CoRR (2022)
Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Lukasz Dudziak, Stefanos Laskaridis, Javier Fernández-Marqués
FedorAS: Federated Architecture Search under system heterogeneity. CoRR (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Adaptable mobile vision systems through multi-exit neural networks. MobiSys (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Multi-Exit Semantic Segmentation Networks. ECCV (21) (2022)
Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
Federated Learning for Inference at Anytime and Anywhere. CoRR (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Multi-Exit Semantic Segmentation Networks. CoRR (2021)
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. HotMobile (2021)
Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild. CoRR (2021)
Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. CoRR (2021)
Samuel Horvath, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. CoRR (2021)
Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. NeurIPS (2021)
Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. EMDL@MobiSys (2021)
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. CoRR (2021)
Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. CoRR (2021)
Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
Smart at what cost?: characterising mobile deep neural networks in the wild. Internet Measurement Conference (2021)
Stefanos Laskaridis, Dimitris Spathis, Mário Almeida
Federated mobile sensing for activity recognition. MobiCom (2021)
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
HAPI: Hardware-Aware Progressive Inference. CoRR (2020)
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
HAPI: Hardware-Aware Progressive Inference. ICCAD (2020)
Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane
SPINN: synergistic progressive inference of neural networks over device and cloud. MobiCom (2020)
Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud. CoRR (2020)
Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. INTERSPEECH (2019)
Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. CoRR (2019)
Mário Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices. CoRR (2019)