Distributed ML, Privacy-preserving AI, Edge Training, Decentralized Models
FedKLPR: Personalized Federated Learning for Person Re-Identification with Adaptive Pruning
arxiv.orgยท3h
How to Benchmark Classical Machine Learning Workloads on Google Cloud
towardsdatascience.comยท10h
AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training
arxiv.orgยท3h
Distributed Request Assignment with MaxโMin and Deviation Fairness in OnโDemand Mobility
hackernoon.comยท9h
Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio
arxiv.orgยท3h
An Efficient Dual-Line Decoder Network with Multi-Scale Convolutional Attention for Multi-organ Segmentation
arxiv.orgยท3h
Collaborative-Online-Learning-Enabled Distributionally Robust Motion Control for Multi-Robot Systems
arxiv.orgยท3h
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
arxiv.orgยท3h
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