Peihua Mai
5 papers · 2023–2026 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
🌍
Conference Polyglot
(2)
🌉
Interdisciplinary Bridge
🐝
Cross-Pollinator
(15)
Conferences
ICML (3)
ACL (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(2)
differential privacy
(1)
adversarial learning
(1)
knowledge distillation
(1)
privacy preservation
(1)
secure aggregation
(1)
poisoning attack
(1)
vertical federated learning
(1)
privacy leakage
(1)
recommender system
(1)
privacy-preserving inference
(1)
embedding propagation
(1)
robust aggregation
(1)
graph neural network
(1)
model-agnostic framework
(1)
prompt privacy
(1)
batch-level privacy
(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
NIPS 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