devdiscourse9d
Federated learning under siege: The silent war between poisoning attacks and security defenses
The introduction of BadUnlearn highlights a previously unaddressed security risk, demonstrating that FU alone is not a ...
How to develop an AI agent for crypto trading
Develop an AI-powered crypto trading agent for real-time analysis, automated execution, risk management and adaptive learning ...
cryptopolitan10d
3 Altcoins Poised to 20x in February – Your Best Bets for the 2025 Crypto Bull Run
The cryptocurrency market shows strong excitement as February 2025 approaches. Investors are currently looking for altcoins that promise massive price growth.
IEEE13d
FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution
Abstract: Graph Federated Learning (GFL) is an emerging distributed training paradigm that combines federated learning with graph data. Due to its ability to effectively handle complex and ...
Transforming Healthcare Data Analytics with Decentralized AI
Saroj Kumar Rout has introduced a transformative decentralized AI framework that addresses privacy, scalability, and ...
IEEE14d
A Resource Allocation Strategy in Internet of Vehicles Based on Multi-Task Federated Learning and Incentive Mechanism
This paper designs a federated learning structure with a two-layer game for vehicular networks, using intelligent roadside terminals for federated optimization. Meanwhile, this paper proposes a ...
The Register on MSN1d
DeepMind working on distributed training of large AI models
DeepMind's approach with DiLoCo has been to relax the need for co-location of training clusters by creating distributed ...
Frontiers10d
An Assisted Diagnosis Model for Cancer Patients Based on Federated Learning
Federated learning can be divided into three categories ... In CNN, there are multiple neuron connections between each layer of the network. The convolution kernel is actually a user-defined size and ...