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Ongoing collaboration is crucial for security teams and AI to form a powerful defense against cyber threats by working together.

Recent studies have demonstrated that backdoor attacks can cause a significant security threat to federated learning. Existing defense methods mainly focus on detecting or eliminating the backdoor patterns after the model is backdoored. However, these methods either cause model performance degradation or heavily rely on impractical assumptions, such as labeled clean data, which exhibit limited effectiveness in federated learning. To this end, we propose FLPurifier, a novel backdoor defense method in federated learning that can effectively purify the possible backdoor attributes before federate...

Researchers from the UK demonstrate the efficacy of self-supervised learning for human activity recognition using a vast wearable dataset. By addressing convergence issues and evaluating multi-task self-supervision, they showcase robust models with superior representation quality across diverse populations and activity types.

New MIT studies support the idea that the brain uses a process similar to a machine-learning approach known as “self-supervised learning.” This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.

Increasing Use of IoT in Agriculture to Boost FaaS Market GrowthTokyo, Japan, Aug. 02, 2023 (GLOBE NEWSWIRE) -- According to the research report published by Market Research Future (MRFR), “Farming as a Service Market Information Deployment Mode, By Service Type, By Delivery Model, By End User And By Region – Market Forecast Till 2032”. The global farming as a service market will touch USD 11.5 billion at a 15.30% CAGR by 2032, as per the recent Market Research Future report. Farming as a Servic