This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
Abstract: Federated Learning (FL) is a distributed machine learning paradigm involving multiple clients to train a server model. In practice, clients often possess limited data and are not always ...
Version 3.2.0 - A Python-based tool for analyzing noise in lamp data according to ASTM standards. This release adds macOS/Linux helpers, enforces wheel-only installs, and keeps the same GUI/reporting ...
The QuantConnect MCP Server is a bridge for AIs (such as Claude and OpenAI o3 Pro) to interact with our cloud platform. When equipped with our MCP, the AI can perform tasks on your behalf through our ...
A viral post highlighting biometric surveillance at a Wegmans grocery store in New York City is sparking renewed privacy concerns. "Biometric identifier information collected at this location," a sign ...
FedPPO: Reinforcement Learning-Based Client Selection for Federated Learning With Heterogeneous Data
Abstract: Federated Learning (FL) enables multiple data owners to jointly train a machine learning model, which can improve joint environmental cognitive capability without disclosing their private ...
Wegmans in New York City has begun collecting biometric data from anyone who enters its supermarkets, according to new signage posted at the chain's Manhattan and Brooklyn locations earlier this month ...
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