Edwige Cyffers
7 papers · 2022–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15)
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Taxonomy Completionist
(13)
👥
Mega-Team
(24)
Conferences
ICML (3)
NIPS (3)
AISTATS (1)
Top co-authors
Research topics
Keywords
differential privacy
(3)
privacy amplification
(3)
federated learning
(2)
variational inference
(1)
domain adaptation
(1)
convex optimization
(1)
decentralized optimization
(1)
distributed optimization
(1)
gradient descent
(1)
distribution shift
(1)
alternating direction method of multiplier
(1)
benchmark dataset
(1)
privacy-utility trade-off
(1)
performative learning
(1)
model deployment
(1)
cross-silo federated learning
(1)
decentralized algorithm
(1)
network topology
(1)
peer-to-peer network
(1)
fixed-point iteration
(1)
Papers
Differentially Private Decentralized Learning with Random Walks
ICML 2024
Privacy Attacks in Decentralized Learning
ICML 2024
Optimal Classification under Performative Distribution Shift
NIPS 2024
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
ICML 2023
Privacy Amplification by Decentralization
AISTATS 2022
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
NIPS 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
NIPS 2022