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A Distributed Differentially Private Algorithm for Resource Allocation
  in Unboundedly Large Settings
v1v2 (latest)

A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings

Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
16 November 2020
Panayiotis Danassis
Aleksei Triastcyn
Boi Faltings
ArXiv (abs)PDFHTML

Papers citing "A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings"

2 / 2 papers shown
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning
  Using a Lazy Influence Approximation
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence ApproximationBigData Congress [Services Society] (BSS), 2022
Ljubomir Rokvic
Panayiotis Danassis
Sai Praneeth Karimireddy
Boi Faltings
TDI
309
3
0
23 May 2022
Putting Ridesharing to the Test: Efficient and Scalable Solutions and
  the Power of Dynamic Vehicle Relocation
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle RelocationArtificial Intelligence Review (AIR), 2019
Panayiotis Danassis
Marija Sakota
Aris Filos-Ratsikas
Boi Faltings
337
12
0
17 Dec 2019
1
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