Research
gspDAG-FL Secures Decentralized Federated Learning With Gossip and Virtual Voting
Decentralized federated learning removes the central server by having nodes exchange updates via peer-to-peer gossip, but existing gossip methods lack provenance finality and resilience to Byzantine or lazy participants, while ledger-assisted FL reintroduces global coordination costs via blockchains, shards, or settlement committees. gspDAG-FL proposes a DAG-based secure framework using gossip plus virtual voting to get finality and Byzantine resilience while preserving locality. Niche but relevant to privacy-preserving distributed training.
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