FedNST: Federated Noisy Student Training for Automatic Speech Recognition. - Haaris Mehmood; Agnieszka Dobrowolska; Karthikeyan Saravanan; Mete Ozay (INTERSPEECH, 2022)

Consistency Based Unsupervised Self-Training for ASR Personalisation. - Jisi Zhang; Vandana Rajan; Haaris Mehmood; David Tuckey; Pablo Peso Parada; Md Asif Jalal; Karthikeyan Saravanan; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ASRU, 2023)

Privacy-preserving Federated Learning and its application to natural language processing. - Balázs Nagy; István Hegedüs; Noémi Sándor; Balázs Egedi; Haaris Mehmood; Karthikeyan Saravanan; Gábor Lóki; Ákos Kiss 001 (Knowl. Based Syst., 2023)

DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. - Jie Xu; Karthikeyan Saravanan; Rogier van Dalen; Haaris Mehmood; David Tuckey; Mete Ozay (CoRR, 2024)

ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization. - Haaris Mehmood; Karthikeyan Saravanan; Pablo Peso Parada; David Tuckey; Mete Ozay; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ICASSP, 2025)