SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data

SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data

• Computer Science > Cryptography and Security [Submitted on 18 Feb 2026] Title:SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data

Detecting and mitigating common agent misconfigurations

Detecting and mitigating common agent misconfigurations

• Organizations are rapidly adopting agents, but attackers are equally fast at exploiting misconfigured AI workflows. • Mis-sharing, unsafe orchestration, and weak authentication c

Cybersecurity · February 12, 2026 (updated February 25, 2026) · 1 min · 198 words