No free lunch theorem for security and utility in federated learning
… article may serve as the guidance for the design of practical federated learning algorithms. …
into account, we therefore reiterate that a secure federated learning (SFL) scheme must (1) …
into account, we therefore reiterate that a secure federated learning (SFL) scheme must (1) …
Trading off privacy, utility, and efficiency in federated learning
… a No-Free-Lunch (NFL) Theorem (Theorem 4.6) that provides a … Our No-Free-Lunch theorem
is formulated based on this … No-Free-Lunch theorem (Theorem 4.6) for federated learning, …
is formulated based on this … No-Free-Lunch theorem (Theorem 4.6) for federated learning, …
A theorem of the alternative for personalized federated learning
… A widely recognized difficulty in federated learning arises from the … risks of personalized
federated learning with a smooth, … theorem of the alternative for personalized federated learning: …
federated learning with a smooth, … theorem of the alternative for personalized federated learning: …
A Game-theoretic Framework for Privacy-preserving Federated Learning
… No free lunch theorem for security and utility in federated learning. ACM Transactions on
Intelligent Systems and Technology 14, 1 (2022), 1ś35. [44] Xiaojin Zhang, Anbu Huang, Lixin …
Intelligent Systems and Technology 14, 1 (2022), 1ś35. [44] Xiaojin Zhang, Anbu Huang, Lixin …
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory
X Zhang, W Chen - arXiv preprint arXiv:2407.16735, 2024 - arxiv.org
… analysis of privacy leakage in federated learning from two perspectives: linear … federated
learning, offering a theoretical foundation for designing privacypreserving federated learning …
learning, offering a theoretical foundation for designing privacypreserving federated learning …
No Free Lunch Theorem for Privacy-Preserving LLM Inference
… -Free-Lunch Theorem. Another pertinent research [7] similarly introduces a theorem that
try … models in the context of horizontal federated learning, where privacy leakage is defined …
try … models in the context of horizontal federated learning, where privacy leakage is defined …
Fedeval: A holistic evaluation framework for federated learning
… In federated learning, we typically learn the global model by solving the following problem: …
Yang, “No free lunch theorem for security and utility in federated learning,” arXiv preprint arXiv…
Yang, “No free lunch theorem for security and utility in federated learning,” arXiv preprint arXiv…
The Aggregation–Heterogeneity Trade-off in Federated Learning
… learning holds that the more data you train your model on, the better the model can perform.
Accordingly, a plethora of federated learning … and heterogeneity in federated learning. We …
Accordingly, a plethora of federated learning … and heterogeneity in federated learning. We …
Attacks against federated learning defense systems and their mitigation
C Lewis, V Varadharajan, N Noman - Journal of Machine Learning …, 2023 - jmlr.org
… in federated learning defense systems (FLDS) and present a detailed empirical analysis
of these attacks under different conditions. (2) Then we propose a new federated learning …
of these attacks under different conditions. (2) Then we propose a new federated learning …
Server free wireless federated learning: Architecture, algorithm, and analysis
… Abstract—We demonstrate that merely analog transmissions and match filtering can
realize the function of an edge server in federated learning (FL). Therefore, a network with …
realize the function of an edge server in federated learning (FL). Therefore, a network with …
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