Abstract: Recent years have witnessed a huge demand for artificial intelligence and machine learning applications in wireless edge networks to assist individuals with real-time services. Federated ...

Abstract: Federated learning enables participants to collaboratively train a global model through distributed training without sharing raw data. However, this distributed training is vulnerable to ...

Our paper about the robust FL algorithms evaluation with a new algorithm has been accepted by NeurIPS 2025, please check our FedGPS. In the open-source code of FedGPS we provide a clearer codebase for ...

VeryFL is a simple federated learning framework embedded with blockchain (Etherenum). Federated Learning side uses PyTorch while blockchain-side use Solidity deployed on Ethereum to implement on-chain ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

Confidential computing (CC) emerges as an important solution, utilizing hardware-rooted Trusted Execution Environments to ...

Spread the love“`html As we approach the midway point of the decade, it’s clear that the landscape of technology is evolving at an unprecedented pace. The tech trends for 2026 are not just interesting ...

Meta ( META) had been using Google's Gemini models for tasks such as content moderation and scam detection because they ...

Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis Agostino Marengo Vito Santamato Frontiers in Computer Science doi ...