arXiv:2609.06394v1 Announce Type: cross
Abstract: Massive datasets in modern machine learning have made data reduction a central challenge, particularly for clustering tasks where memory and computat...
By Diptarka Chakraborty, Satyaki Mukherjee, Gaurav Vallabhdas Revankar, Hoang-Son Tran
arXiv:2510.23039v2 Announce Type: replace
Abstract: Approximate Nearest Neighbor (ANN) search and Approximate Kernel Density Estimation (A-KDE) are fundamental problems at the core of modern machine...
By Ved Danait, Srijan Das, Sujoy Bhore
arXiv:2201. 01973v3 Announce Type: replace-cross Abstract: The problem of linear predictions has been extensively studied for the past century under pretty generalized frameworks.
By Saptarshi Chakraborty, Debolina Paul, Swagatam Das
The paper studies online algorithms for monotone submodular maximization with full knowledge of the future and unlimited computation. It establishes optimal approximation thresholds of 3/4 for deterministic algorithms and approximately 0.7942 for randomized algorithms, while allowing a constant number of changes per step. The authors provide matching impossibility results and achieve these bounds by balancing preparation for future arrivals with protection of the current solution, using techniques such as interval-selection analysis for randomized algorithms and certificate-based rounding for deterministic ones.
By Eric Balkanski, Paul D\"utting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson, Morteza Zadimoghaddam
arXiv:2607. 27632v1 Announce Type: new Abstract: With the rapid advancement of the Internet of Things (IoT), massive amounts of data are generated across distributed edge networks.
By Yang Jiao (Richard), Kaixuan Jiao (Richard), Kai Yang (Richard), Nadjib Aitsaadi (Richard), Ilhem Fajjari (Richard), Renwei (Richard), Li
arXiv:2605. 28335v2 Announce Type: replace Abstract: Federated Learning (FL) enables multiple clients to collaboratively train models without sharing raw data, but it is highly vulnerable to Byzantine attacks.
By Shiyuan Zuo, Jiashuo Li, Rongfei Fan, Han Hu, Jie Xu