[FederatedLearning][Post-v1] Verifiable FL (ZK proofs)

[ooples]

Out of scope for FL v1.\n\nDetails: docs/FederatedLearning_OutOfScope_Backlog.md\n\nGoal: Explore/implement verifiable federated learning techniques (e.g., zero-knowledge proofs) to validate update correctness without revealing private information.

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🔗 Similar Issues

Related Issues

• [FederatedLearning][Post-v1] Create post-v1 backlog tracking issue #536
• [Phase 3] Implement Federated Learning Framework #398

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• ooples

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Warning

This task is fundamentally incompletable because it is explicitly marked as a "Post-v1" feature dependent on FL v1, but federated learning v1 has not been implemented in the codebase. The referenced backlog document docs/FederatedLearning_OutOfScope_Backlog.md does not exist, and there is no federated learning architecture, client-server topology, aggregation protocol, or trust model defined. Without FL v1 establishing what "update correctness" means, the communication patterns between clients and aggregator, and the threat model being addressed, it is impossible to design verifiable FL extensions. The ticket cannot proceed until FL v1 is implemented and defines the foundational architecture that verifiable FL techniques would enhance.

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