Distributed ML, Privacy-preserving AI, Edge Training, Decentralized Models
FedKLPR: Personalized Federated Learning for Person Re-Identification with Adaptive Pruning
arxiv.org·7h
How to Benchmark Classical Machine Learning Workloads on Google Cloud
towardsdatascience.com·14h
AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training
arxiv.org·7h
Distributed Request Assignment with Max‑Min and Deviation Fairness in On‑Demand Mobility
hackernoon.com·13h
Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio
arxiv.org·7h
An Efficient Dual-Line Decoder Network with Multi-Scale Convolutional Attention for Multi-organ Segmentation
arxiv.org·7h
Collaborative-Online-Learning-Enabled Distributionally Robust Motion Control for Multi-Robot Systems
arxiv.org·7h
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
arxiv.org·7h
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