AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Communications and Networks"
DOI: 10.1109/jcn.2020.000015
Abstract: The flying ad-hoc network (FANET) is a decentralized communication network for the unmanned aerial vehicles (UAVs). Because of the wireless nature and the unique network properties, FANET remains vulnerable to jamming attack with additional challenges.… read more here.
Keywords: reinforcement learning; federated reinforcement; fanet; adaptive federated ... See more keywords
Adaptive Federated Learning on Non-IID Data with Resource Constraint
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2021.3099723
Abstract: Federated learning (FL) has been widely recognized as a promising approach by enabling individual end-devices to cooperatively train a global model without exposing their own data. One of the key challenges in FL is the… read more here.
Keywords: non iid; federated learning; iid data; model ... See more keywords