Federated learning offers privacy advantages but faces significant vulnerabilities, like gradient inversion and model poisoning. Its real-world applications, especially in healthcare, highlight both potential and risks. Trust and transparency are key.
Discover more at https://dev.to/rawveg/federated-learning-under-fire-5aep
#AIinHealthcare #DataPrivacy #FederatedLearning #HumanInTheLoop

#Transhumanizm #Posthumanizm #HumanAugmentation #AIEthics #MindUploading #Longevity #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #AntiHarari #MLOps www.amazon.com/dp/B0GX2ZJJQ6

RE: https://bsky.app/profile/did:plc:ydftq6wxpe22q2wpmt7gj56j/post/3mkwlls5lss2x

ANTI-HARARI: The Anatomy of a ...

The preachers of the Silicon Valley Church sell the harvesting of the body as “algorithmic inevitability,” promising immortality. A neat fable. Maybe they’ll keep the data lords alive for 150 years—but half of it will be Alzheimer’s. In the end, the thermodynamic hammer still falls.
#Transhumanizm #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #SyntheticData #AntiHarari #MLOps #Longevity

This book is worth reading. #Transhumanizm #Posthumanizm #HumanAugmentation #AIEthics #MindUploading #Longevity #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #SyntheticData #AntiHarari #MLOps

RE: https://bsky.app/profile/did:plc:pb7a7t76p24jgpd5swwpkzct/post/3mkroirvug22a

New on flextalks.org: I've been researching a book — "It Takes People to Win!: AI in the Age of Smart, Local & Federated."
The short version: centralized AI's 2025 water footprint equals the entire global bottled water supply. There's a better architecture — and it puts communities in control of their own data.
Full research brief with timeline, energy comparisons & priorities:
flextalks.org/ai-almost-daily
#AI #Sustainability #FederatedLearning #DigitalRights

Our work, "A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning" will soon be presented at WACV 2026. It introduces a novel technique for robust federated learning, using synthetic data to defend against adversaries in a privacy-preserving way. Results show improved performance against gradient manipulation and backdoors. Our paper is available (https://openaccess.thecvf.com/content/WACV2026/papers/Alharbi_SD-CSFL_A_Synthetic_Data-Driven_Conformity_Scoring_Framework_for_Robust_Federated_WACV_2026_paper.pdf), including our code. Thanks E. Alharbi, A. Kerim, and Q. Ni! :) #ai #federatedlearning #wacv

As AI evolves, the convergence of NeuroAI and decentralized learning is reshaping our approach to intelligent systems. Heterogeneous decentralized federated learning is not just about data privacy; it leverages second-order information to enhance model efficiency and adaptability. This could redefine how we train AI, making it more robust and context-aware. Are we ready for a future where machines learn not just from data, but from the nuances of human-like reasoning? #AI #FederatedLearning