AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes TRIP-Shapley, a propagation-aware Shapley-inspired surrogate for contribution attribution in P2PFL with a model-free coordinator used solely for auditing, and introduces lightweight mechanisms to detect and mitigate misreporting attacks.
Federated learning (FL) enables collaborative training without directly sharing raw data, but remains vulnerable to malicious clients. Voting-based FL improves robustness by partitioning clients into groups, training one model per group, and aggregating predictions by plurality voting. However, under class-disjoint non...
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