Girum Fitihamlak Ejigu

According to our database, Girum Fitihamlak Ejigu authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Mitigating Label Noise in Federated Learning With Regularized Features and Robust Loss.

Girum Fitihamlak Ejigu, Kitae Kim, Choong Seon Hong

IEEE Trans. Artif. Intell., April, 2026

Intelligent Traffic Steering in O RAN: A Deep Proactive Throughput and Resource Co-Optimization.

Mrityunjoy Gain, Avi Deb Raha, Girum Fitihamlak Ejigu, Dong Uk Kim, Choong Seon Hong

Proceedings of the 27th International Conference on Advanced Communications Technology, 2026

FSANL: Symmetric Active Negative Loss for Robust Federated Learning Under Heterogeneous Label Noise.

Girum Fitihamlak Ejigu, Avi Deb Raha, Mrityunjoy Gain, Choong Seon Hong

Proceedings of the 27th International Conference on Advanced Communications Technology, 2026

2025

FedISAC: A Federated Learning Framework with Integrated Sensing and Communication for 6G mmWave Networks.

Apurba Adhikary, Girum Fitihamlak Ejigu, Kitae Kim, Min Kyu Suh, Choong Seon Hong

Proceedings of the International Conference on Information Networking, 2025

Relaxed Contrastive Learning for Robust Federated Models with Noisy Labels and Limited Clients.

Girum Fitihamlak Ejigu, Apurba Adhikary, Choong Seon Hong

Proceedings of the 27th International Conference on Advanced Communications Technology, 2025

Towards Lifelong Vision-Based Beamforming: A Continual Learning-Driven Framework for 6G.

Avi Deb Raha, Mrityunjoy Gain, Girum Fitihamlak Ejigu, Zhu Han, Choong Seon Hong

Proceedings of the 2025 IEEE Global Communications Conference, 2025

2023

Robust Federated Learning with Local Mixed Co-teaching.

Girum Fitihamlak Ejigu, Sang Hoon Hong, Choong Seon Hong

Proceedings of the International Conference on Information Networking, 2023