Federated Self-Training for Data-Efficient Audio Recognition. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi (ICASSP, 2022)

Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning. - Vasileios Tsouvalas; Tanir Ozcelebi; Nirvana Meratnia (PerCom Workshops, 2022)

Federated Learning with Noisy Labels. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi; Nirvana Meratnia (CoRR, 2022)

Federated Self-training for Semi-supervised Audio Recognition. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi (ACM Trans. Embed. Comput. Syst., 2022)

On efficacy of Meta-Learning for Domain Generalization in Speech Emotion Recognition. - Raeshak King Gandhi; Vasileios Tsouvalas; Nirvana Meratnia (PerCom Workshops, 2023)

Plug-and-Play Multilingual Few-shot Spoken Words Recognition. - Aaqib Saeed; Vasileios Tsouvalas (CoRR, 2023)

Federated Fine-Tuning of Foundation Models via Probabilistic Masking. - Vasileios Tsouvalas; Yuki Asano 001; Aaqib Saeed (CoRR, 2023)

DeltaMask: Minimizing Communication in Federated Fine-Tuning of Vision Foundation Models. - Vasileios Tsouvalas; Yuki M. Asano; Aaqib Saeed (IEEE Big Data, 2024)

FedCode: Communication-Efficient Federated Learning via Transferring Codebooks. - Saeed Khalilian Gourtani; Vasileios Tsouvalas; Tanir Ozcelebi; Nirvana Meratnia (EDGE, 2024)

Communication-Efficient Federated Learning Through Adaptive Weight Clustering And Server-Side Distillation. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi; Nirvana Meratnia (ICASSP, 2024)

Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi; Nirvana Meratnia (ACM Trans. Intell. Syst. Technol., 2024)

EncCluster: Scalable functional encryption in federated learning through weight clustering and probabilistic filters. - Vasileios Tsouvalas; Samaneh Mohammadi; Ali Balador; Tanir Ozcelebi; Francesco Flammini; Nirvana Meratnia (Pervasive Mob. Comput., 2025)

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach. - Timo Fudala; Vasileios Tsouvalas; Nirvana Meratnia (CoRR, 2025)

Many-Task Federated Fine-Tuning via Unified Task Vectors. - Vasileios Tsouvalas; Tanir Ozcelebi; Nirvana Meratnia (CoRR, 2025)