Publications

1. ThinkingViT: Matryoshka Thinking Vision Transformer for Elastic Inference
   A. Hojjat, J. Haberer, S. Pirk, O. Landsiedel
   ES-FoMo III: 3rd Workshop on Efficient Systems for Foundation Models, ICML'25
   OpenReview | arXiv | GitHub

2. HydraViT: Stacking Heads for a Scalable ViT
   J. Haberer, A. Hojjat, O. Landsiedel
   NeurIPS'24: Advances in Neural Information Processing Systems 37
   Published Version | OpenReview | arXiv | GitHub

3. MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices (Best Paper Honorable Mention)
   A. Hojjat, J. Haberer, O. Landsiedel
   DAGM GCPR'25 & Workshop on Machine Learning and Compression, NeurIPS'24
   OpenReview | arXiv | GitHub

4. MatchCurv: Communication-Efficient Decentralized Federated Learning in Heterogeneous Environments (Best Presentation Award)
   H.P. Dussa, J. Haberer, O. Landsiedel
   1st Workshop on Enabling Machine Learning Operations for next-Gen Embedded Wireless Networked Devices, EWSN'24
   Published Version | GitHub

5. LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
   A. Hojjat, J. Haberer, T. Zainab, O. Landsiedel
   MobiSys'24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services
   Published Version | arXiv | GitHub

6. Machine Learning with Computer Networks: Techniques, Datasets and Models
   A. Haitham, S. Pochaba, A. Boltres, D. Laniewski, J. Haberer, P. Leonard, R. Poorzare, D. Stolpmann, N. Wehner, A. Redder, E. Samikwa, M. Seufert
   IEEE Access, 2024
   Published Version

7. ProgDTD: Progressive Learned Image Compression with Double-tail-drop Training
   A. Hojjat, J. Haberer, O. Landsiedel
   New Trends in Image Restoration and Enhancement Workshop, at CVPR'23
   Published Version | arXiv | GitHub

8. Activation Sparsity and Dynamic Pruning for Split Computing in Edge AI
   J. Haberer, O. Landsiedel
   3rd International Workshop on Distributed Machine Learning, at CoNEXT'22
   Published Version