Reverse channel training for reciprocal MIMO systems with spatial multiplexing. - Bettagere Nagaraja Bharath; Chandra R. Murthy (ICASSP, 2009)

On the improvement of diversity-multiplexing gain tradeoff in a training based TDD-simo system. - Bettagere Nagaraja Bharath; Chandra R. Murthy (ICASSP, 2010)

Joint data detection and dominant singular mode estimation in time varying reciprocal MIMO systems. - Ranjitha Prasad; Bettagere Nagaraja Bharath; Chandra R. Murthy (ICASSP, 2011)

On the Diversity-Multiplexing Gain Tradeoff for a TDD-SIMO System - Bettagere Nagaraja Bharath; Chandra R. Murthy (CoRR, 2011)

Power Controlled Reverse Channel Training Achieves an Infinite Diversity Order in a TDD-SIMO System with Perfect CSIR. - Bettagere Nagaraja Bharath; Chandra R. Murthy (IEEE Commun. Lett., 2012)

On the DMT of TDD-SIMO Systems with Channel-Dependent Reverse Channel Training. - Bettagere Nagaraja Bharath; Chandra R. Murthy (IEEE Trans. Commun., 2012)

Channel Training Signal Design for Reciprocal Multiple Antenna Systems With Beamforming. - Bettagere Nagaraja Bharath; Chandra R. Murthy (IEEE Trans. Veh. Technol., 2013)

Power-Controlled Reverse Channel Training in a Multiuser TDD-MIMO Spatial Multiplexing System With CSIR. - Bettagere Nagaraja Bharath; Chandra R. Murthy (IEEE Trans. Veh. Technol., 2013)

Coverage analysis and training optimization for uplink cellular networks with practical channel estimation. - Prashant Khanduri; Bettagere Nagaraja Bharath; Chandra R. Murthy (GLOBECOM, 2014)

Caching with Unknown Popularity Profiles in Small Cell Networks. - Bettagere Nagaraja Bharath; Kyatsandra G. Nagananda (GLOBECOM, 2015)

A Probably Approximately Correct Answer to Distributed Stochastic Optimization in a Non-stationary Environment. - B. N. Bharath 001; Vaishali P (CoRR, 2016)

A Learning-Based Approach to Caching in Heterogenous Small Cell Networks. - B. N. Bharath 001; Kyatsandra G. Nagananda; H. Vincent Poor (IEEE Trans. Commun., 2016)

Learning-Based Content Caching with Time-Varying Popularity Profiles. - B. N. Bharath 001; Kyatsandra G. Nagananda; Deniz Gündüz; H. Vincent Poor (GLOBECOM, 2017)

Time complexity analysis of distributed stochastic optimization in a non-stationary environment. - Bettagere Nagaraja Bharath; P. Vaishali (WiOpt, 2017)

Caching With Time-Varying Popularity Profiles: A Learning-Theoretic Perspective. - B. N. Bharath 001; Kyatsandra G. Nagananda; Deniz Gündüz; H. Vincent Poor (IEEE Trans. Commun., 2018)

Online Learning Models for Content Popularity Prediction In Wireless Edge Caching. - Navneet Garg 001; Vimal Bhatia; B. N. Bharath 001; Mathini Sellathurai; Tharmalingam Ratnarajah (CoRR, 2019)

Secure Communication in Dynamic Wireless Ad hoc Networks. - B. N. Bharath 001; Kyatsandra G. Nagananda (CoRR, 2019)

Cache Enabled Cellular Network: Algorithm for Cache Placement and Guarantees. - S. Krishnendu; B. N. Bharath 001; Vimal Bhatia (IEEE Wirel. Commun. Lett., 2019)

Learning to Cache: Distributed Coded Caching in a Cellular Network With Correlated Demands. - S. Krishnendu; B. N. Bharath 001; Navneet Garg 001; Vimal Bhatia; Tharmalingam Ratnarajah (CoRR, 2020)

Online Content Popularity Prediction and Learning in Wireless Edge Caching. - Navneet Garg 001; Mathini Sellathurai; Vimal Bhatia; B. N. Bharath 001; Tharmalingam Ratnarajah (IEEE Trans. Commun., 2020)

Federated Algorithm with Bayesian Approach: Omni-Fedge. - Sai Anuroop Kesanapalli; B. N. Bharath 001 (ICASSP, 2021)

Learning Distributed Coded Caching Strategy in a Cellular Network. - Yash Doshi; B. N. Bharath 001; Navneet Garg 001; Vimal Bhatia; Tharmalingam Ratnarajah (VTC Spring, 2021)

Joint Edge Content Cache Placement and Recommendation: Bayesian Approach. - S. Krishnendu; B. N. Bharath 001; Vimal Bhatia (VTC Spring, 2021)

Minimization of Age of Incorrect Estimates of Autoregressive Markov Processes. - Bhavya Joshi; Rajshekhar Vishweshwar Bhat; B. N. Bharath 001; Rahul Vaze (WiOpt, 2021)

Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks. - Sawan Singh Mahara; Shruti M.; B. N. Bharath 001 (CoRR, 2021)

Multi-Task Federated Edge Learning (MTFeeL) With SignSGD. - Sawan Singh Mahara; Shruti M.; B. N. Bharath 001 (NCC, 2022)

Online Learning of Caching and Recommendation Policies in a Multi-BS Cellular Networks. - S. Krishnendu; B. N. Bharath 001; Vimal Bhatia (CoRR, 2022)

Learning to Cache: Federated Caching in a Cellular Network With Correlated Demands. - S. Krishnendu; B. N. Bharath 001; Navneet Garg 001; Vimal Bhatia; Tharmalingam Ratnarajah (IEEE Trans. Commun., 2022)

FedAvg for Minimizing Polyak-Łojasiewicz Objectives: The Interpolation Regime. - Shruti M.; Prashant Khanduri; B. N. Bharath 001 (ACSSC, 2023)

Online Caching with Fetching cost for Arbitrary Demand Pattern: a Drift-Plus-Penalty Approach. - Shashank P; B. N. Bharath 001 (ICASSP, 2023)

On Homomorphic Encryption Based Strategies for Class Imbalance in Federated Learning. - Arpit Guleria; J. Harshan; Ranjitha Prasad; B. N. Bharath 001 (CoRR, 2024)

Wireless Edge Caching and Content Popularity Prediction Using Machine Learning. - S. Krishnendu; B. N. Bharath 001; Vimal Bhatia; Jamel Nebhen; Michal Dobrovolny; Tharmalingam Ratnarajah (IEEE Consumer Electron. Mag., 2024)

Improved Bounds For Online Convex Optimization. - Tanvi S. Nayak; B. N. Bharath 001 (ICASSP, 2025)

Online Learning With Non-convex Losses: New Condition To Achieve Small Dynamic Regret. - Sumit Sah; B. N. Bharath 001 (ICASSP, 2025)

Linear Convergence of Decentralized FedAvg for PL Objectives: The Interpolation Regime. - Shruti P. Maralappanavar; Prashant Khanduri; B. N. Bharath 001 (Trans. Mach. Learn. Res., 2025)