2024W

• AI/ML in the Era of Climate Change / 194.125 / VU

• FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN / Maliakel, P. J., Ilager, S., & Brandic, I. (2024). FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN. In EdgeSys ’24: Proceedings of the 7th International Workshop on Edge Systems, Analytics and Networking (pp. 1–6). Association for Computing Machinery. https://doi.org/10.1145/3642968.3654813
  Projects: Themis FWF (2024–2027) / TRITON FWF (2023–2027) / Virtual Shepherd (2024–2026)
• Achieving sustainable federated edge analytics by using incomplete data / Maliakel, P. J. (2023). Achieving sustainable federated edge analytics by using incomplete data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.108307
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