Client scheduling in wireless federated learning based on channel and learning qualities
… channel and learning models used in this letter and the training process of the federated
learning … Since the system’s preference on channel quality and learning quality changes as the …
learning … Since the system’s preference on channel quality and learning quality changes as the …
CHARLES: Channel-quality-adaptive over-the-air federated learning over wireless networks
… Abstract—Over-the-air federated learning (OTA-FL) has emerged as an efficient mechanism
… for federated learning in the air. OTA-FL is naturally sensitive to wireless channel fading, …
… for federated learning in the air. OTA-FL is naturally sensitive to wireless channel fading, …
Federated learning for wireless communications: Motivation, opportunities, and challenges
… depends on the wireless channel quality. Therefore, wireless channel quality should be
consid… Moreover, when learning a deep model, there are model compression techniques and …
consid… Moreover, when learning a deep model, there are model compression techniques and …
Convergence of federated learning over a noisy downlink
… the channel quality [29]. Resource allocation for FEEL is formulated as an optimization
problem to speed up training [30], to minimize the empirical loss function [31], and to minimize the …
problem to speed up training [30], to minimize the empirical loss function [31], and to minimize the …
Joint client scheduling and resource allocation under channel uncertainty in federated learning
MM Wadu, S Samarakoon… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… One of the most popular model training methods in edge ML is federated learning (FL) [4],
[5]. The goal of FL is to train a high-quality centralized model in a decentralized manner, …
[5]. The goal of FL is to train a high-quality centralized model in a decentralized manner, …
Federated learning with downlink device selection
… Abstract—We study federated edge learning, where a global model is trained … channel
quality in that sub-channel, is broadcast. Also, the power allocation across different sub-channels …
quality in that sub-channel, is broadcast. Also, the power allocation across different sub-channels …
Low-latency federated learning over wireless channels with differential privacy
… quality of transmissions. In this paper, we aim to minimize FL training delay over wireless
channels… unknown transmission environments, eg, channel fading and interference. Specifically…
channels… unknown transmission environments, eg, channel fading and interference. Specifically…
Scheduling policies for federated learning in wireless networks
… the channels between any pair of antennas are assumed independent and identically distributed
(iid) and quasi-static, ie, the channel … We assume all propagation channels are narrow-…
(iid) and quasi-static, ie, the channel … We assume all propagation channels are narrow-…
Federated learning: A signal processing perspective
… That is, the server receives a noisy version of the channel … of the channel dictate the relationship
between the channel … on federated learning carried out over shared wireless channels. …
between the channel … on federated learning carried out over shared wireless channels. …
Resource allocation in mobility-aware federated learning networks: A deep reinforcement learning approach
… In this paper, we have presented the DQL algorithm for the resource allocation in the
mobility-aware federated learning network. In particular, we first formulate the channel selection …
mobility-aware federated learning network. In particular, we first formulate the channel selection …
相关搜索
- wireless networks federated learning
- over-the air federated learning
- resource allocation federated learning
- client selection federated learning
- device scheduling federated learning
- client scheduling federated learning
- wireless communications federated learning
- privacy leakage federated learning
- asynchronous federated learning
- differential privacy federated learning
- wireless fading channels federated learning
- collaborative federated learning
- fast federated learning
- federated learning challenges and opportunities
- federated learning in mobile edge networks
- federated learning in edge computing