Peihua Mai
5 papers · 2023–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
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Hot Topic Early Bird
Venues
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Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Data Science & Analytics
(2)
Application Areas
(2)
Applications
(2)
Core AI
(2)
Learning Paradigms · Artificial Intelligence
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types
(1)
Resources & Methods
(1)
Keywords
federated learning
(3)
differential privacy
(1)
adversarial learning
(1)
embedding
(1)
knowledge distillation
(1)
privacy preservation
(1)
sparsity
(1)
secure aggregation
(1)
poisoning attack
(1)
privacy-utility trade-off
(1)
downstream task
(1)
vertical federated learning
(1)
privacy leakage
(1)
recommender system
(1)
local differential privacy
(1)
privacy-preserving inference
(1)
embedding propagation
(1)
robust aggregation
(1)
graph neural network
(1)
model-agnostic framework
(1)
Papers
SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models
ACL 2026
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
ICML 2025
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation
NeurIPS 2024
Split-and-Denoise: Protect large language model inference with local differential privacy
ICML 2024
Vertical Federated Graph Neural Network for Recommender System
ICML 2023