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P. Mohapatra

29 papers hereh-index 6117.5k citations508 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author26

Across the 29 of 29 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.CR8
  • cs.NI3
  • stat.ML3
  • cs.DC1
  • cs.GT1
same name
  • P. Mohapatra — 10 papers, h 11
  • P. Mohapatra — 5 papers, h 5
  • P. Mohapatra — 4 papers, h 15
  • P. Mohapatra — 4 papers, h 7
  • P. Mohapatra — 1 paper, h 8
  • P. Mohapatra — 1 paper, h 46

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092023
most citedEdge Cloud Offloading Algorithms: Issues, Methods, and Perspectives

41 citations · 119 across the 27 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CR2021

How BlockChain Can Help Enhance The Security And Privacy in Edge Computing?

Jinyue Song, Tianbo Gu, Prasant Mohapatra

In order to solve security and privacy issues of centralized cloud services, the edge computing network is introduced, where computing and storage resources are distributed to the…

cs.LG2021

Fairness Degrading Adversarial Attacks Against Clustering Algorithms

Anshuman Chhabra, Adish Singla, Prasant Mohapatra

Clustering algorithms are ubiquitous in modern data science pipelines, and are utilized in numerous fields ranging from biology to facility location. Due to their widespread use, e…

cs.LG2021

FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective

Huanle Zhang, Mi Zhang, Xin Liu +2

Federated learning (FL) hyper-parameters significantly affect the training overheads in terms of computation time, transmission time, computation load, and transmission load. Howev…

cs.LG2021★ 2 cited

Fair Clustering Using Antidote Data

Anshuman Chhabra, Adish Singla, Prasant Mohapatra

Clustering algorithms are widely utilized for many modern data science applications. This motivates the need to make outputs of clustering algorithms fair. Traditionally, new fair…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.