DUPLEX jointly optimizes P2P network topology and per-device graph sampling ratios via deep reinforcement learning, cutting completion time by 20-49% and communication cost by 17-38% while improving accuracy.
Acceler- ating decentralized federated learning with probabilistic communication in heterogeneous edge computing,
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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
DUPLEX jointly optimizes P2P network topology and per-device graph sampling ratios via deep reinforcement learning, cutting completion time by 20-49% and communication cost by 17-38% while improving accuracy.