Research

Publications and Patents

Public Talks:

• "Communication-Efficient Distributed Learning with Provable Robustness and Privacy Guarantees," Ph.D. Thesis defense, November 2025.

• "Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning," conference talk at IEEE Information Theory Workshop (ITW), October 2025.

• "Source Anonymity for Private Random Walk Decentralized Learning," conference talk at IEEE Information Theory Workshop (ITW), October 2025.

• "Efficient Machine Unlearning by Model Splitting and Core Sample Selection," conference talk at IEEE Information Theory Workshop (ITW), October 2025.

• "BICompFL: Bi-directional Compression for Stochastic Federated Learning," poster at ICML Workshop on Machine Learning for Wireless Communication and Networks, July 2025.

• "Byzantine-Resilient Zero-order Optimization for Scalable Federated Fine-Tuning of Large Language Models," poster at ICML Workshop on Efficient Systems for Foundation Models, July 2025.

• "Federated One-Shot Learning with Data Privacy and Objective-Hiding," conference talk at International Symposium on Information Theory (ISIT), July 2025.

• "Multi-Terminal Remote Generation and Estimation over a Broadcast Channel with Correlated Priors," conference talk at International Symposium on Information Theory (ISIT), July 2025.

• "Scalable and Reliable Over-the-Air Federated Edge Learning," conference talk at  IEEE Global Communications Conference (GLOBECOM), December 2024.

• "Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs," conference talk at  IEEE Global Communications Conference (GLOBECOM), December 2024.

• "Maximal-Capacity Discrete Memoryless Channel Identification", conference talk at International Symposium on Information Theory (ISIT), June 2023.

• "Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load", conference talk at International Symposium on Information Theory (ISIT), June 2023.

• "Challenges in Federated Learning - A Brief Overview," contributed talk at TUM ICE Workshop, August 2022.

• "Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits," conference talk at International Symposium on Information Theory (ISIT), June 2022.

• "Exploring While Exploiting Workers for Efficient Distributed Machine Learning," master thesis final presentation at TUM, February 2022.

• "An IoT-Gateway for Cloud-Based Asset Tracking via Bluetooth Low Energy - Strategic Decisions and Development Steps Towards Prototyping," invited talk organized by VDE, June 2021.

Reviewing for

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

• IEEE Transactions on Information Theory (T-IT)

• IEEE Transactions on Communications (TCOM)

• IEEE Journal on Selected Areas in Information Theory (JSAIT)

• IEEE Transactions on Information Forensics and Security (TIFS)

• IEEE International Symposium on Information Theory (ISIT)

• IEEE Information Theory Workshop (ITW)

• IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)