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cs.LG2026
Secure Decentralized Federated Learning via Gossip and Virtual Voting
Amirhossein Taherpour, Xiaodong Wang
Decentralized federated learning (DFL) removes the central server by letting nodes exchange model updates through peer-to-peer gossip, but existing gossip-based methods often lack…
cs.CE2026
No Certificate, No Execution: Certified Traces as a Foundation for Trustworthy AI Agents
Xiao-Yang Liu Yanglet, Xiaodong Wang, Agostino Capponi
We argue that trustworthy AI agents, especially in high-stakes and policy-governed domains, should make execution conditional on certified traces rather than rely only on stronger…
cs.LG2026
ZK-HybridFL: Zero-Knowledge Proof-Enhanced Hybrid Ledger for Federated Learning
Amirhossein Taherpour, Xiaodong Wang
Federated learning (FL) enables collaborative model training while preserving data privacy, yet both centralized and decentralized approaches face challenges in scalability, securi…