B.N.Bharath

B.N.Bharath

Excited about machine learning, building prototypes for federated learning and caching applications!

Conference

  1. Shruti M., Prashant Khanduri and B. N. Bharath, “FedAvg for Minimizing Polyak-Lojasiewicz Objectives: The Interpolation Regime”, accepted at Asilomar Conference on Signals, Systems, and Computers, 2023. (Best Student Paper Award finalist!)

  2. Shashank P and B. N. Bharath, “Online Caching With Fetching Cost for Arbitrary Demand Pattern: A Drift-Plus-Penalty Approach”, IEEE Int. Conf. on Acoustics, Speech and Sig. Proc. (ICASSP), Rhodes Island, Greece, 2023.

  3. Sawan S. Mahara, Shruti K., and B. N. Bharath, “Multi-Task Federated Edge Learning (MTFeeL) With SignSGD”, National Conference on Communications (NCC) 2022.

  4. Bhavya Joshi, Rajshekhar Bhat, B. N. Bharath and Rahul Vaze, “Minimization of Age of Incorrect Estimates of Autoregressive Markov Processes”, Proc. IEEE WiOPT, Philadelphia, USA, 2021.

  5. Krishnendu K., B. N. Bharath and Vimal Bhatia, ” Joint Edge Content Cache Placement and Recommendation: Bayesian Approach,” Vehicular Technology Conference (VTC), Helsinki, 2021.

  6. Sai Anuroop Kesanapalli and B. N. Bharath, “Federated Algorithm With Bayesian Approach: OMNI-FEDGE,” accepted at IEEE Int. Conf. on Acoustics, Speech and Sig. Proc. (ICASSP), Toronto, Ontario, Canada, June 2021.

  7. Yash Doshi, B. N. Bharath, Navneet Garg, Vimal Bhatia, and Tharmalingam Ratnarajah, Learning Distributed Coded Caching Strategy in Cellular Network, accepted at Vehicular Technology Conference (VTC), Helsinki, 2021.

  8. Navneet Garg, B. N. Bharath, Vimal Bhatia, Mathini Sellathurai and Tharm Ratnarajah, Online Learning Models for Content Popularity Prediction in Wireless Edge Caching, 53rd Asilomar Conference on Signals, Systems, and Computers, 2019.

  9. B. N. Bharath, K. G. Nagananda, Deniz Gunduz, and H. Vincent Poor, Learning-Based Content Caching with Time-Varying Popularity Profiles, Proc. IEEE Global Communications Conference (Globecom), Singapore, Dec. 2017, pages 1-6.

  10. B. N. Bharath and Vaishali P., Time complexity analysis of distributed stochastic optimization in a non-stationary environment. Proc. IEEE WiOPT-2017, Paris, France, pages: 1-8.

  11. B. N. Bharath and K. G. Nagananda, Caching in Small Cell Networks: A Learning Theoretic Approach, Proc. IEEE Global Communications Conference (Globecom), Sandiego, California, USA, Dec. 2015

  12. P. Khanduri, B. N. Bharath, and C. R. Murthy, Coverage Analysis and Training Optimization for Uplink Cellular Networks with Practical Channel Estimation, Proc. IEEE Global Communications Conference (Globecom), Austin, TX, USA, Dec. 2014.

  13. B. N. Bharath and C. R. Murthy, Channel Estimation at the Transmitter in a Reciprocal MIMO Spatial Multiplexing System, Proc. National Conference on Communications (NCC), Kharagpur, India, Feb. 2012.

  14. R. Prasad, B. N. Bharath, and C. Murthy, Joint Data Detection and Dominant Singular Mode Estimation in Time-Varying Reciprocal MIMO Systems, Proc. IEEE International Conference on Speech, Acoustics and Signal Processing (ICASSP), Prague, Czech Republic, May 2011.

  15. B. N. Bharath and C. R. Murthy, On the Improvement of Diversity-Multiplexing Gain Tradeoff in a Training Based TDD-SIMO System, IEEE Int. Conf. on Acoustics, Speech and Sig. Proc. (ICASSP), Dallas, TX, USA, Mar. 2010.

  16. B. N. Bharath and C. R. Murthy, Reverse channel training for reciprocal MIMO systems with spatial multiplexing, IEEE Int. Conf. on Acoustics, Speech and Sig. Proc. (ICASSP), Taiwan, Taipei (Republic of China), Apr. 2009.

Journal

  1. Krishnendu S. Tharakan, B. N. Bharath and Vimal Bhatia, Online Learning to Cache and Recommend in the Next Generation Cellular Networks, IEEE Transactions on Machine Learning in Communications and Networking vol. $2$, pp. $511-525$, $2024$, doi: 10.1109/TMLCN.2024.338897.

  2. Suryavijoy Kar, Sherin Babu, Dhruv Jain, Yedhu Shali, Saritha D S, Rajshekhar V Bhat and B N Bharath, Deep Learning based Track Prediction and Correction for a Radar Target, IEEE Transactions on Radar Systems, vol. 1, pp. 395-400, 2023, doi: 10.1109/TRS.2023.3296900.

  3. S. Kulkarni, B. N. Bharath and R. Ghosh, CuO Nanowires-Based Resistive Sensor for Accurate Classification of Multiple Vapors, in IEEE Sensors Journal, vol. 23, no. 10, pp. 10293-10300, 15 May15, 2023. (interdisciplinary work)

  4. S Krishnendu, B. N. Bharath, Vimal Bhatia, Jamel Nebhen, Michal Dobrovolny, Tharmalingam Ratnarajah, Wireless Edge Caching and Content Popularity Prediction using Machine Learning, IEEE Consumer Electronics Magazine, March 2022.

  5. S. Krishnendu, B. N. Bharath, N. Garg, V. Bhatia and T. Ratnarajah, “Learning to Cache: Federated Caching in a Cellular Network With Correlated Demands,” in IEEE Transactions on Communications, vol. 70, no. 3, pp. 1653-1665, March 2022.

  6. Navneet Garg, Mathini Sellathurai, Vimal Bhatia, B. N. Bharath and Tharm Ratnarajah, “Online Content Popularity Prediction and Learning in Wireless Edge Caching,” in IEEE Transactions on Communications, vol. 68, no. 2, pp. 1087-1100, Feb. 2020

  7. S. Krishnendu, B. N. Bharath and Vimal Bhatia, “Cache Enabled Cellular Network: Algorithm for Cache Placement and Guarantees,” in IEEE Wireless Communications Letters, vol. 8, no. 6, pp. 1550-1554, Dec. 2019.

  8. B. N. Bharath, K. G. Nagananda, D. Gündüz and H. V. Poor, “Caching With Time-Varying Popularity Profiles: A Learning-Theoretic Perspective,” in IEEE Transactions on Communications, vol. 66, no. 9, pp. 3837-3847, Sept. 2018.

  9. B. N. Bharath, K. G. Nagananda and H. Vincent Poor, Caching with Unknown Popularity Profiles in Heterogenous Small Cell Networks, IEEE Transactions on Communications, No. 18, vol. 64, pp. 1674-1686, Apr. 2016.

  10. B. N. Bharath and C. R. Murthy, Power-Controlled Reverse Channel Training in a Multiuser TDD-MIMO Spatial Multiplexing System with CSIR, IEEE Transactions on Veh. Technology, vol. 62, no. 9, pp. 4345 – 4356, Nov. 2013.

  11. B. N. Bharath and C. R. Murthy, Channel Training Signal Design for Reciprocal Multiple Antenna Systems with Beamforming, IEEE Transactions on Veh. Technology, vol. 62, no. 1, pp. 140 – 151, Jan. 2013.

  12. B. N. Bharath and C. R. Murthy, Power Controlled Reverse Channel Training Achieves an Infinite Diversity Order in a TDD-SIMO System with Perfect CSIR, IEEE Communications Letters, vol. 16, no. 11, pp. 1800-1803, Nov. 2012.

  13. B. N. Bharath and C. R. Murthy, On the DMT of TDD-SIMO Systems with Channel-Dependent Reverse Channel Training, IEEE Transactions on Communications, vol. 60, no. 11, pp. 3332-3341, Nov. 2012.

Research work that did not find the light of day:-(

  1. Mahara S.S., Shruti M., Bharath B.N., Akash Murthy, “Multi-Task Federated Edge Learning (MTFeeL) With SignSGD”, https://arxiv.org/pdf/2108.02517.

  2. B. N. Bharath and K. G. Nagananda, “Secure Communication in Dynamic Wireless Ad hoc Networks,” https://arxiv.org/pdf/1904.10856.pdf, 2019.

  3. B. N. Bharath and P. Vaishali, “Time Complexity Analysis of Distributed Stochastic Optimization in a Non-Stationary Environment,” https://arxiv.org/pdf/1701.02560.pdf, 2017.