Secure Embedding Stabilization (SES) deals with embedding drift and instability in federated learning in non-IID and adversarial scenarios. This paper develops embedding variance minimization as a stability-constrained optimization problem and regularized secure alignment framework with privacy preserving aggregation. The suggested SES-FL model combines the variance-conscious regularization and encrypted centroid alignment to provide stabilized learning of representation among distributed clients. Experimental analysis shows better performance with accuracy of 89.74, precision 0.882, recall 0.876, and F1-score 0.879 and minimizes embedding variance to 0.072. The framework rounds off to 61 rounds, better than FedAvg, FedProx and FedDyn in terms of stability and communication efficiency (6.3 MB/round). These findings confirm that SES is a useful solution to strong, stable, and privacy-aware federated learning in heterogeneous data environments.
Federated learning (FL) has emerged as a prospective model training paradigm for distributed clients, which provides data privacy while maintaining the ability to train a collaborative model.In healthcare, finance and edge intelligence applications, federated learning (FL) is a p…
Traditionally, cybersecurity anomaly detection systems rely on only one source of data. However, these systems are no longer effective because modern cyber infrastructures are complex and versatile. This paper introduces a new technique called UMS, DLF: Unified Multi, Source Deep…
Group multi-criteria decision making (MCDM) in distributed organizations demands aggregating private preference matrices across multiple decision-makers, raising serious data privacy challenges. Centralized aggregation exposes individual evaluations to unauthorized disclosure, wh…
India’s economy is primarily based on agriculture. Agriculture has significant contribution in nation’s GDP. Food security and employment significantly influenced by agriculture. However factors like uncertain weather conditions, poor quality of seeds and plant diseases impact on…
In robotic assembly lines, mechanical degradation and cyber attack propagation are two factors that interact and affect each other on the operational stability of robotic assembly lines, which constitutes a single interconnected cyber-physical network. In this study, a Graph-Coup…
User authentication plays an essential role in security assurance in the present-day digital world. Traditional password-based authentication approaches are increasingly becoming vulnerable to attacks, while single modal biometric systems suffer from challenges such as noise susc…