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Efficient Federated Learning with Enhanced Privacy Via Lottery Ticket Pruning in Edge Computing.

IEEE TRANSACTIONS ON MOBILE COMPUTING(2024)

Cited 4|Views63
Key words
Computational modeling,Training,Data models,Costs,Privacy,Mobile computing,Degradation,Differential privacy,federated learning,lottery ticket hypothesis,mobile edge computing,zero -concentrated DP
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