Blaise Aguera Y Arcas
6 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π Academic Marathon (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
β
The Questioner
Conferences
ICLR (2)
ACL (1)
AISTATS (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
federated learning
(1)
representation learning
(1)
multimodal learning
(1)
distributed learning
(1)
privacy preservation
(1)
hebbian learning
(1)
gradient descent
(1)
communication efficiency
(1)
model averaging
(1)
social learning
(1)
information leakage
(1)
user interface
(1)
cascade system
(1)
evolutionary strategy
(1)
image-text model
(1)
large language model
(1)
neural network
(1)
decentralized datum
(1)
privacy-preserving technique
(1)
Papers
Multi-agent cooperation through learning-aware policy gradients
ICLR 2025
Can LLMs get help from other LLMs without revealing private information?
ACL 2024
Meta-Learning Bidirectional Update Rules
ICML 2021
UIBert: Learning Generic Multimodal Representations for UI Understanding
IJCAI 2021
Generative Models for Effective ML on Private, Decentralized Datasets
ICLR 2020
Communication-Efficient Learning of Deep Networks from Decentralized Data
AISTATS 2017