M. Yashwanth

According to our database, M. Yashwanth authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation.

M. Yashwanth, Arunabh Singh, Ashok Nayak, Sai Kiran Bulusu, Anirban Chakraborty

CoRR, May, 2026

Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers.

M. Yashwanth, Sharannya Ghosh, Aditay Tripathi, Anirban Chakraborty

Trans. Mach. Learn. Res., 2026

FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation.

M. Yashwanth, Sampath Koti, Arunabh Singh, Shyam Marjit, Anirban Chakraborty

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2024

Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning.

M. Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Simmhan, Anirban Chakraborty

Trans. Mach. Learn. Res., 2024

Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning.

M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Federated Learning on Heterogeneous Data via Adaptive Self-Distillation.

M. Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Singh, Anirban Chakraborty

CoRR, 2023