| 2026 | NetSoft | EnSplit: Dynamic DRL Energy-Aware Split Inference for AI-Based UE Apps in 6G Networks. | Sayantini Majumdar, Eric Samikwa, Konstantinos Samdanis, Emmanouil Pateromichelakis, Elham Hashemi Nezhad, Torsten Braun |
| 2026 | NetSoft | Decentralized Federated Multi-Agent Reinforcement Learning for RAN Controller Orchestration in 6G. | Elham Hashemi Nezhad, Eric Samikwa, Torsten Braun |
| 2026 | Networking | Attention-Based Actor-Critic DRL for Online Service Function Chain Composition in 6G Networks. | Solomon Fikadie Wassie, Eric Samikwa, Torsten Braun, Slawomir Kuklinski, David Jia, Vronique Capdevielle |
| 2026 | PERCOM | Resource-Aware Federated Transfer Learning with Adaptive Model Scaling and Channel Attention. | Sabyasachi Banik, Eric Samikwa, Torsten Braun |
| 2026 | WCNC | FedLoad: Adaptive Partial Training for Model Heterogeneous Federated Learning. | Bruno S. Martins, Eric Samikwa, Torsten Braun, Denis Rosrio, Eduardo Cerqueira, Leandro Villas |
| 2025 | CNSM | MARC-6G: Multi-Agent Reinforcement Learning for Distributed Context-Aware SFC Deployment and Migration in 6G Networks. | Solomon Fikadie Wassie, Eric Samikwa, Antonio Di Maio, Torsten Braun |
| 2025 | VTC | DRFSL: Deep Reinforced Federated Split Learning for Multi-Modal Beamforming in IoV. | Jinxuan Chen, Eric Samikwa, Torsten Braun, Kaushik R. Chowdhury |
| 2023 | MOBIHOC | Machine Learning-based Energy Optimisation in Smart City Internet of Things. | Eric Samikwa, Jakob Schrer, Torsten Braun, Antonio Di Maio |