This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
RedLine, Lumma, and Vidar adapted in 48 hours. Clawdbot's localhost trust model collapsed, plaintext memory files sit exposed ...
This component integrates the SDK with the LangChain framework, enabling the creation of sophisticated AI agents that can reason about your data catalog. The MCP integration provides an MCP-compatible ...
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 ...
U.S. tech companies are known to stockpile as much user data as they can, but DeepSeek's privacy policy makes Meta, Google, and OpenAI look tame. "The personal information we collect from you may be ...
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 ...
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