Raj Kumar Maity

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 24

Top Topics

High Dimensional

Error Correcting

Distributed Learning

Vector Quantized

Top Venues

IEEE Trans. Inf. Theory

Proc. VLDB Endow.

Publications

Raj Kumar Maity, Jagannath Samanta, Jaydeb Bhaumik
An Improved Single and Double-Adjacent Error Correcting Codec with Lower Decoding Overheads. J. Signal Process. Syst. 95 (6) (2023)
Sweta Bijali Maity, Raj Kumar Maity, Jagannath Samanta, Chanchal Kumar De
Comments on "New low power and fast SEC-DAEC and SEC-DAEC-TAEC codes for memories in space application". Integr. 92 (2023)
Raj Kumar Maity, Jagannath Samanta, Jaydeb Bhaumik
Construction Technique and Evaluation of High Performance t-bit Burst Error Correcting Codes for Protecting MCUs. J. Circuits Syst. Comput. 32 (9) (2023)
Venkata Gandikota, Daniel Kane, Raj Kumar Maity, Arya Mazumdar
vqSGD: Vector Quantized Stochastic Gradient Descent. IEEE Trans. Inf. Theory 68 (7) (2022)
Venkata Gandikota, Daniel Kane, Raj Kumar Maity, Arya Mazumdar
vqSGD: Vector Quantized Stochastic Gradient Descent. AISTATS (2021)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience. CoRR (2021)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning With Error Feedback. IEEE J. Sel. Areas Inf. Theory 2 (3) (2021)
Raj Kumar Maity, Cameron Musco
Estimation of Shortest Path Covariance Matrices. CoRR (2020)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning. ITA (2020)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication Efficient and Byzantine Tolerant Distributed Learning. ISIT (2020)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
Distributed Newton Can Communicate Less and Resist Byzantine Workers. CoRR (2020)
Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal
High Dimensional Discrete Integration over the Hypergrid. UAI (2020)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
Distributed Newton Can Communicate Less and Resist Byzantine Workers. NeurIPS (2020)
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
A workload-adaptive mechanism for linear queries under local differential privacy. CoRR (2020)
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
A workload-adaptive mechanism for linear queries under local differential privacy. Proc. VLDB Endow. 13 (11) (2020)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
Communication Efficient Distributed Approximate Newton Method. ISIT (2020)
Raj Kumar Maity, Sayan Tripathi, Jagannath Samanta, Jaydeb Bhaumik
Lower complexity error location detection block of adjacent error correcting decoder for SRAMs. IET Comput. Digit. Tech. 14 (5) (2020)
Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar
Robust Gradient Descent via Moment Encoding and LDPC Codes. ISIT (2019)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning. CoRR (2019)
Venkata Gandikota, Raj Kumar Maity, Arya Mazumdar
vqSGD: Vector Quantized Stochastic Gradient Descent. CoRR (2019)
Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal
High Dimensional Discrete Integration by Hashing and Optimization. CoRR (2018)
Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar
Robust Gradient Descent via Moment Encoding with LDPC Codes. CoRR (2018)
Raj Kumar Maity, Chandrashekar Lakshminarayanan, Sindhu Padakandla, Shalabh Bhatnagar
Shaping Proto-Value Functions Using Rewards. ECAI (2016)
Prasenjit Karmakar, Raj Kumar Maity, Shalabh Bhatnagar
On a convergent off -policy temporal difference learning algorithm in on-line learning environment. CoRR (2016)
Chandrashekar Lakshmi Narayanan, Raj Kumar Maity, Shalabh Bhatnagar
Shaping Proto-Value Functions via Rewards. CoRR (2015)