Vaikkunth Mugunthan

According to our database1, Vaikkunth Mugunthan authored at least 11 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy.
CoRR, 2022

Gradient Masked Averaging for Federated Learning.
CoRR, 2022

2021
Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners.
CoRR, 2021

Prior-Free Auctions for the Demand Side of Federated Learning.
CoRR, 2021

Bias-Free FedGAN.
CoRR, 2021

DPD-InfoGAN: Differentially Private Distributed InfoGAN.
Proceedings of the EuroMLSys@EuroSys 2021, 2021

BlockFLow: Decentralized, Privacy-Preserving, and Accountable Federated Machine Learning.
Proceedings of the Blockchain and Applications - 3rd International Congress, 2021

2020
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning.
CoRR, 2020

Utility-Enhancing Flexible Mechanisms for Differential Privacy.
Proceedings of the Privacy in Statistical Databases, 2020

PrivacyFL: A Simulator for Privacy-Preserving and Secure Federated Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2017
Shade: A differentially-private wrapper for enterprise big data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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