Publications

1. HydraViT: Stacking Heads for a Scalable ViT
   J. Haberer, A. Hojjat, O. Landsiedel
   NeurIPS'24: Advances in Neural Information Processing Systems 37, 2024
   Published Version | OpenReview | arXiv | GitHub

2. MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
   A. Hojjat, J. Haberer, O. Landsiedel
   Workshop on Machine Learning and Compression, NeurIPS'24, 2024
   OpenReview | arXiv | GitHub

3. 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, 2024
   Published Version | GitHub

4. 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, 2024
   Published Version | arXiv | GitHub

5. 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

6. 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, 2023
   Published Version | arXiv | GitHub

7. 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, 2022
   Published Version