8 citations · 26 across the 29 of their papers we have counts for
11 papers · 1 filter
Equivariant Neural Belief Propagation
Zehua Cheng, Wei Dai, Jiahao Sun
Probabilistic inference over spatially embedded variables requires beliefs that respect symmetry, yet existing equivariant networks produce only scalars and vectors -- not…
In-Context Graphical Inference
Zehua Cheng, Wei Dai, Jiahao Sun
Marginal inference in discrete graphical models forces a choice between exactness and scalability: exact algorithms are intractable for high-treewidth graphs, while iterative appro…
Invariant Gradient Alignment for Robust Reasoning Distillation
Zehua Cheng, Wei Dai, Jiahao Sun
Large language models (LLMs) suffer from shortcut learning: they systematically fail on out-of-distribution (OOD) inputs whose semantic surface differs from training data, even whe…
CasualSynth: Generating Structurally Sound Synthetic Data
Zehua Cheng, Wei Dai, Jiahao Sun +1
Large Language Models (LLMs) generate realistic synthetic data but offer no guarantee that their outputs respect the causal mechanisms governing the target domain. We introduce Cau…
Cosine-Gated Adam-Decay: Drop-In Staleness-Aware Outer Optimization for Decoupled DiLoCo
Vatsal Shah, Jiahao Sun
Asynchronous DiLoCo systems may receive pseudo-gradients computed several outer rounds earlier, yet the standard Nesterov outer optimizer does not explicitly condition its update o…
Scaling Decentralized Learning with FLock
Zehua Cheng, Rui Sun, Jiahao Sun +1
Fine-tuning the large language models (LLMs) are prevented by the deficiency of centralized control and the massive computing and communication overhead on the decentralized scheme…
SoK: Blockchain-Based Decentralized AI (DeAI)
Elizabeth Lui, Rui Sun, Vatsal Shah +5
Centralization enhances the efficiency of Artificial Intelligence (AI) but also introduces critical challenges, including single points of failure, inherent biases, data privacy ri…
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning
Rui Sun, Zhipeng Wang, Hengrui Zhang +5
One of the biggest challenges of building artificial intelligence (AI) model in the healthcare area is the data sharing. Since healthcare data is private, sensitive, and heterogene…
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
Chengzhe Piao, Taiyu Zhu, Yu Wang +6
Newly diagnosed Type 1 Diabetes (T1D) patients often struggle to obtain effective Blood Glucose (BG) prediction models due to the lack of sufficient BG data from Continuous Glucose…
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
Chengzhe Piao, Taiyu Zhu, Stephanie E Baldeweg +5
Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with diabetes, thereby reducing complications and improving quality…
Defending Against Poisoning Attacks in Federated Learning with Blockchain
Nanqing Dong, Zhipeng Wang, Jiahao Sun +3
In the era of deep learning, federated learning (FL) presents a promising approach that allows multi-institutional data owners, or clients, to collaboratively train machine learnin…