Edwige Cyffers
7 papers · 2022–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Learning Paradigms · Artificial Intelligence
(3)
Security & Privacy
(2)
Core AI
(2)
Differential Privacy
(2)
Learning Paradigms · Machine Learning
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
differential privacy
(4)
privacy amplification
(3)
pairwise network differential privacy
(2)
federated learning
(2)
variational inference
(1)
domain adaptation
(1)
convex optimization
(1)
decentralized optimization
(1)
distributed optimization
(1)
random walk
(1)
gradient descent
(1)
distribution shift
(1)
graph topology
(1)
alternating direction method of multiplier
(1)
benchmark dataset
(1)
privacy loss
(1)
decentralized gradient descent
(1)
privacy-utility trade-off
(1)
performative learning
(1)
model deployment
(1)
Papers
Differentially Private Decentralized Learning with Random Walks
ICML 2024
Optimal Classification under Performative Distribution Shift
NeurIPS 2024
Privacy Attacks in Decentralized Learning
ICML 2024
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
ICML 2023
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
NeurIPS 2022
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
NeurIPS 2022
Privacy Amplification by Decentralization
AISTATS 2022