Scholar
Anit Kumar Sahu
Google Scholar ID: Q_eYcDsAAAAJ
Oracle
Citations & Impact
Citations
16,911
H-index
21
i10-index
29
Publications
20
Co-authors
58
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper 'Projektor' accepted to NeurIPS 2023; Paper on using partial averaging in FL accepted to NeuroComputing; Papers on federated representation learning and federated self-learning for ASR use cases accepted to InterSpeech 2023 and ICASSP 2023 respectively; Paper on heavy-tailed noise in distributed estimation accepted to SIAM Journal on Control and Optimization.
Research Experience
- Currently a Senior Applied Scientist at Amazon Alexa AI; Previously a Machine Learning Research Scientist at Bosch Center for Artificial Intelligence.
Education
- PhD from the Department of Electrical and Computer Engineering at Carnegie Mellon University in November 2018, advised by Prof. Soummya Kar; B.Tech and M.Tech degrees from the Department of Electronics and Electrical Communication Engineering at Indian Institute of Technology, Kharagpur, where he worked with Prof. Mrityunjoy Chakraborty during his undergraduate days.
Background
- Senior Applied Scientist with interests in Optimization, Distributed Inference, and Statistical Machine Learning. Particularly interested in applying optimization techniques towards Robust Deep Learning and Learning/Optimizing on Edge Devices, i.e., Federated Learning.
