Distributed ML, Privacy-preserving AI, Edge Training, Decentralized Models
Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation
arxiv.org·19h
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
arxiv.org·19h
Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data
arxiv.org·2d
Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability
arxiv.org·19h
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
arxiv.org·19h
7 Popular LLMs Explained in 7 Minutes
kdnuggets.com·11h
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