Ritabrata Maiti

Orcid: 0000-0003-3022-3064

According to our database1, Ritabrata Maiti authored at least 14 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Chow-Liu Ordering for Long-Context Reasoning in Chain-of-Agents.
CoRR, March, 2026

Machine Learning-Driven Edge Caching for Industry 5.0: A Survey of Collaborative and Inference-Enabled Techniques.
IEEE Open J. Commun. Soc., 2026

Cache-Aware Association Strategies for Energy-Efficient MEC-Enabled IIoT Networks.
IEEE Open J. Commun. Soc., 2026

Edge-Intelligence With Inference-Aware Offloading for Latency-Sensitive Agents in IoT Networks.
IEEE Commun. Lett., 2026

2025
COSMIR: Chain Orchestrated Structured Memory for Iterative Reasoning over Long Context.
CoRR, October, 2025

MACU: A Multiagent Cache Updating Framework for IIoT Networks.
IEEE Internet Things J., March, 2025

Reinforcement Learning for Joint Caching and Power Control for IIoT Networks.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

Scalable Energy-Efficiency Optimization in MEC-Enabled IIoT: A Deep Reinforcement Learning Perspective.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

2024
AdAct: Learning to Optimize Activation Function Choice through Adaptive Activation Modules.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

CR-DDPG: Cache Refreshing for MEC Networks with DDPG.
Proceedings of the IEEE International Conference on Communications, 2024

2023
MultiNet: Deep unsupervised power control for industrial MU-MIMO networks.
Phys. Commun., October, 2023

SVDNet: Deep Power Control for Multiuser MIMO.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2020
Deploy-able Privacy Preserving Collaborative ML.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2018
Determining the best classifier for predicting the value of a boolean field on a blood donor database.
CoRR, 2018


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