Bengaluru, India

Sathyanarayanan Manamohan

This inventor holds 21 USPTO granted patents and 8 published patent applications and 4 EPO patents, primarily in Decentralized Machine Learning. Top assignee: Hewlett Packard Enterprise Development LP. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sathyanarayanan Manamohan. Retrieved from https://idiyas.com/inventor/sathyanarayanan-manamohan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 21 

% Patents Active = 81.0

 

Average Co-Inventor Count = 2.7

ph-index = 2

Forward Citations = 19(Granted Patents)


Location History:

  • Chennai, IN (2021 - 2024)
  • Bengaluru, IN (2021 - 2024)
  • Karnataka, IN (2024)

Company Filing History:


Years Active: 2021-2026

Loading Chart...
Loading Chart...
Areas of Expertise:
Decentralized Learning
Blockchain
Privacy Preservation
Adversarial Attacks
Heterogeneous Models
Data Monetization
Swarm Learning
Event Monitoring
Anomaly Detection
Collaborative Learning
Device Management
Model Building
21 patents (USPTO):Explore Patents

Title: Sathyanarayanan Manamohan: Innovating Self-Healing in Decentralized Machine Learning

Introduction

Sathyanarayanan Manamohan is an inventive mind based in Chennai, India, known for his contributions to the field of decentralized machine learning. With a focus on integrating blockchain technology, Manamohan has developed a unique solution that enhances the reliability and efficiency of machine learning models.

Latest Patents

Manamohan holds a patent for a pioneering system and method for self-healing in decentralized model building for machine learning using blockchain. This innovation allows decentralized machine learning to occur at nodes with locally generated training datasets. By employing a blockchain platform, the coordination of decentralized machine learning is achieved over a series of iterations.

The self-healing features embedded in each node allow the recovery from faults without hindering the overall functionality of the decentralized system. If inconsistencies arise between a local and a global machine learning state, the node triggers corrective actions to realign. By generating blockchain transactions, it informs other nodes of its synchronization with the latest training iteration, thus enhancing collaboration among the nodes.

Career Highlights

Sathyanarayanan Manamohan is currently associated with Hewlett Packard Enterprise Development LP, where he utilizes his expertise to develop cutting-edge technologies. His work exemplifies the interface of machine learning and blockchain, contributing to advancements in data processing and machine intelligence.

Collaborations

Throughout his career, Manamohan has collaborated with several notable peers, including Krishnaprasad Lingadahalli Shastry and Vishesh Garg. These collaborations underscore the collaborative spirit of innovation that drives progress in technology.

Conclusion

Sathyanarayanan Manamohan stands out as a pivotal figure in the evolution of decentralized machine learning, combining his knowledge of blockchain with innovative solutions that pave the way for more resilient data processing systems. His contributions are set to inspire further advancements in the field, marking him as an inventor to watch in the years to come.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…