Category
2,117 papers
A hybrid two-stage architecture that combines a federated binary convolutional neural network (CNN) gate with server-side zero-shot VLM inference and routing rules can be adjusted to trade server-side VLM usage for higher anomaly sensitivity is proposed.
FedSubMuon is proposed, a communication-efficient federated Muon fine-tuning method that optimizes compact coefficient matrices within shared structured subspaces that keeps Muon on a single matrix-valued trainable object, while reducing the client upload to compact coefficient matrices.
This article proposes and analyses a conceptual, policy-governed federated architecture derived from the architectural work of the Horizon Europe NOUS project and maps architectural functions onto major European reference initiatives.
A privacy-preserving dynamic evaluation system for cross-platform social media marketing effectiveness based on federated learning that improves the accuracy, interpretability, and privacy protection of cross-platform marketing evaluation.
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This study presents a PRISMA-guided systematic review integrating agentic decision theory with organizational information systems perspectives, including the Technology Acceptance Model, Task-Technology Fit, and Sociotechnical Systems Theory.
This survey reviews the intersection of deep learning and big data along three axes: the neural architectures used to model large-scale data, the distributed computing frameworks that make training such models tractable, and the persistent challenges of scalability, data quality, privacy, andinterpretability that const...
The Federated Learning-based Silver Economy Prediction Framework (FL-SEPF), which is a collaborative framework for privacy-preserving prediction in the silver economy, features a four-layer architecture with an adaptive weighted federated aggregation strategy that dynamically computes platform-specific weights based on...
Comparative benchmarking proves that ADEFIF surpasses all current frameworks such as Traditional Digital Forensics, Multidimensional AI Forensic Analysis Framework (MAFAF), and Privacy-by-Design AI Forensic Model (PbDAIF), in all the assessment dimensions.
FedSHARP (Federated Structure-aware Hypergraph Anchored Representation Preservation), a structure-aware framework for federated hypergraph continual learning, is proposed and evaluated, demonstrating that preserving both node-level semantics and high-order hyperedge structures is important for federated hypergraph cont...
Experimental results on multiple datasets show that the proposed DP-aided FedSFR outperforms DP-enabled FedAvg in training stability and image reconstruction quality in heterogeneous wireless systems.
The reviewed literature reveals four generational phases of ML adoption in diesel emissions control, from simple regression-based offline calibration tools to sophisticated real-time physics-informed adaptive systems, which consistently outperform purely data-driven approaches on the out-of-distribution conditions most...
This comprehensive review delves into integration of the FL with the AI-based ZTA for the malware detection and Prevention and presents the comparative analysis between the AI, FL, ZTA, IAM approaches, and the trends, challenges, limitations, and the future directions.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Education Innovation
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
A Blog post by NVIDIA on Hugging Face
A Blog post by IBM Research on Hugging Face
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
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