… 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) …

… 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, …

… 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: …

… 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 …

… analysis of privacy leakage in federated learning from two perspectives: linear … federated
learning, offering a theoretical foundation for designing privacypreserving federated learning …

… -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 …

… 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…

… 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 …

… 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 …

… 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 …