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Ritabrata Maiti
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2020 – today
- 2026
[j3]Anandhu Ashok
, Ritabrata Maiti
, Tan Zheng Hui Ernest
, A. S. Madhukumar
:
Edge-Intelligence With Inference-Aware Offloading for Latency-Sensitive Agents in IoT Networks. IEEE Commun. Lett. 30: 837-841 (2026)- 2025
[j2]Ritabrata Maiti
, A. S. Madhukumar
, Tan Zheng Hui Ernest
:
MACU: A Multiagent Cache Updating Framework for IIoT Networks. IEEE Internet Things J. 12(5): 5219-5232 (2025)
[c6]Ritabrata Maiti, Shingamu Sai Ajay, A. S. Madhukumar, Tan Zheng Hui Ernest:
Scalable Energy-Efficiency Optimization in MEC-Enabled IIoT: A Deep Reinforcement Learning Perspective. VTC2025-Spring 2025: 1-5
[c5]Ritabrata Maiti, A. S. Madhukumar, Tan Zheng Hui Ernest:
Reinforcement Learning for Joint Caching and Power Control for IIoT Networks. VTC2025-Spring 2025: 1-5
[i2]Naman Gupta, Shreeyash Gowaikar, Arun Iyer
, Kirankumar Shiragur, Ramakrishna B. Bairi, Rishikesh Maurya, Ritabrata Maiti, Sankarshan Damle, Shachee Mishra Gupta:
COSMIR: Chain Orchestrated Structured Memory for Iterative Reasoning over Long Context. CoRR abs/2510.04568 (2025)- 2024
[c4]Ritabrata Maiti, A. S. Madhukumar, Tan Zheng Hui Ernest:
CR-DDPG: Cache Refreshing for MEC Networks with DDPG. ICC 2024: 262-267
[c3]Ritabrata Maiti:
AdAct: Learning to Optimize Activation Function Choice through Adaptive Activation Modules. Tiny Papers @ ICLR 2024- 2023
[j1]Ritabrata Maiti
, A. S. Madhukumar, Tan Zheng Hui Ernest
:
MultiNet: Deep unsupervised power control for industrial MU-MIMO networks. Phys. Commun. 60: 102158 (2023)
[c2]Ritabrata Maiti, A. S. Madhukumar, Tan Zheng Hui Ernest:
SVDNet: Deep Power Control for Multiuser MIMO. VTC2023-Spring 2023: 1-5- 2020
[c1]Nandish Chattopadhyay, Ritabrata Maiti, Anupam Chattopadhyay:
Deploy-able Privacy Preserving Collaborative ML. ICDCS 2020: 1397-1402
2010 – 2019
- 2018
[i1]Ritabrata Maiti:
Determining the best classifier for predicting the value of a boolean field on a blood donor database. CoRR abs/1802.07756 (2018)
Coauthor Index

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