RESIST achieves algorithmic and statistical convergence guarantees for strongly convex, PL, and nonconvex ERM under MITM attacks via multistep consensus gradient descent plus robust screening.
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Mismatched guesswork is characterized via tilted/exponential families yielding an LDP; one-to-one source coding mismatch cost is ≤ D(μ||ν) and vanishes iff ν lies in μ's tilted family, unlike prefix-free codes.
CNN viewpoint prediction plus Laplace-modeled error yields per-tile visibility probabilities that drive a steepest-descent solver for multi-user 360-video rate allocation, claimed to outperform prior schemes.
Develops a distributed proportional fairness beamforming algorithm using ALM and three-block ADMM for interference management in HAPS-empowered vertical heterogeneous networks.
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RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent
RESIST achieves algorithmic and statistical convergence guarantees for strongly convex, PL, and nonconvex ERM under MITM attacks via multistep consensus gradient descent plus robust screening.
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Mismatched Guesswork
Mismatched guesswork is characterized via tilted/exponential families yielding an LDP; one-to-one source coding mismatch cost is ≤ D(μ||ν) and vanishes iff ν lies in μ's tilted family, unlike prefix-free codes.
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Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming
CNN viewpoint prediction plus Laplace-modeled error yields per-tile visibility probabilities that drive a steepest-descent solver for multi-user 360-video rate allocation, claimed to outperform prior schemes.
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Two-Level Distributed Interference Management for Large-Scale HAPS-Empowered vHetNets
Develops a distributed proportional fairness beamforming algorithm using ALM and three-block ADMM for interference management in HAPS-empowered vertical heterogeneous networks.