Resource allocation for federated learning enabled edge intelligence by Lim, Bryan Wei Yang

“…An enabling technology of Edge Intelligence is the privacy-preserving machine learning paradigm known as Federated Learning (FL). In FL, end users carry out model training locally before transmitting the model parameters or gradient updates, rather than the raw data, to a model owner for aggregation. …”
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MPC-enabled privacy-preserving machine learning by Liu, Ziyao

“…Thirdly, to address the privacy risks caused by the multi-round training in federated learning, we propose a scheme including a strategy with a set of security protocols. …”
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Robust AI: security and privacy issues in machine learning by Chattopadhyay, Nandish

“…The straight-forward solution to this problem is available in the literature in the form of Federated Learning. Additionally, an adversary may tap into the federated learning infrastructure in multiple ways and extract information. …”
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Privacy-enhancing mechanisms for securing data access and analysis by Guo, Jiale

“…Secondly, to prevent data leakage in federated learning for data analysis as well as enhance the quality of the Federated Learning (FL) model, we propose a privacy-enhanced FL scheme, based on cryptographic mechanisms. …”
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Data-efficient domain adaptation for pretrained language models by Guo, Xu

“…To sum up, we propose a new algorithm to generate adversarial perturbations using the domain adaptation objective to enhance the transferability of soft prompt tuning in low-resource scenarios, a new model optimization algorithm that takes into account the next-step gradients of adversarial domain discriminator when optimizing the task classifiers to accommodate competing losses and a new federated learning framework that calibrates the conditional probability distribution to adapt the same PLM to multiple domains under different label distributions. …”
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Coral-based climate reconstructions of Western Pacific warm pool for the past - 280 years by Ahmad Taufiq Mohamed Mohtar

“…Porites spp. coral cores sampled from Kosrae island (KOS) and Woleai atoll (WOL), located on separate sites of Federated States of Micronesia, capture the opposite dipole signal of ENSO. …”
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Machine learning algorithms for diagnosis of epilepsy from EEG by Thangavel, Prasanth

“…According to the International Federation of Societies for Electroencephalography and Clinical Neurophysiology (IFSECN), IEDs are described as transients distinguishable from background activity, with a characteristic spiky shape, commonly, but not completely or universally, observed in interictal EEG recordings of epileptic people. …”
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Environment poisoning in reinforcement learning: attacks and resilience by Xu, Hang

“…The policy-resilience mechanism is designed as a federated architecture in conjunction with a meta-learning manner, allowing efficient extraction and sharing of critical environment-structure knowledge. …”
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Enabling efficient edge intelligence: a hardware-software codesign approach by Huai, Shuo

“…After optimizing the model algorithm, we propose a hardware-aware collaborative training framework based on Federated Learning (FL), which can expand the training dataset for higher accuracy. …”
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Privacy-preserving data analytics by Zhao, Yang

“…The first contribution is to integrate federated learning (FL) and local differential privacy (LDP) to facilitate the crowdsourcing applications to obtain the machine learning model to avoid the privacy leakage threat and reduce the communication cost. …”
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