Zobrazeno 1 - 10
of 116 593
pro vyhledávání: '"Hitter A"'
Autor:
Barnaby Starr
Switch-Hitter is the story of an ambidextrous female tennis player who plays the game with two forehands but quits after the untimely death of her father, a baseball switch-hitter who was her only coach. Enticed back into the game, she joins forces w
Autor:
Derek Jeter, Paul Mantell
In the ninth book in the New York Times bestselling middle grade series inspired by the life of iconic New York Yankee Derek Jeter, Derek must learn how to be a team player from the dugout and the importance of taking care of his body.Seventh grade i
Autor:
Legleiter, Carl J.1 (AUTHOR) cjl@usgs.gov, Scholl, Victoria M.2 (AUTHOR) vscholl@usgs.gov, Sansom, Brandon J.3 (AUTHOR) bsansom@usgs.gov, Burgess, Matthew A.2 (AUTHOR) maburgess@usgs.gov
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 19, p3743. 33p.
Autor:
Cheyenne Meadows
Shifter Hardball: Book ThreeTucker Wilde's life is in a tailspin. Twenty-four hours ago, he was one of the top second basemen in the all-shifter professional baseball league. Now, he's lost his starting spot to a rookie, been dumped by his girlfriend
Autor:
Sarina Bowen
From the USA Today bestselling author of Rookie Move comes the second novel in the series that's hot enough to melt the ice. He's a fighter in the rink, but he's about to learn that playing nice can help you score... As team captain and enforcer, Pat
Akademický článek
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Motivated by real-life deployments of multi-round federated analytics with secure aggregation, we investigate the fundamental communication-accuracy tradeoffs of the heavy hitter discovery and approximate (open-domain) histogram problems under a line
Externí odkaz:
http://arxiv.org/abs/2307.13347
Autor:
Chadha, Karan, Chen, Junye, Duchi, John, Feldman, Vitaly, Hashemi, Hanieh, Javidbakht, Omid, McMillan, Audra, Talwar, Kunal
In this work, we study practical heuristics to improve the performance of prefix-tree based algorithms for differentially private heavy hitter detection. Our model assumes each user has multiple data points and the goal is to learn as many of the mos
Externí odkaz:
http://arxiv.org/abs/2307.11749
Federated heavy-hitter analytics involves the identification of the most frequent items within distributed data. Existing methods for this task often encounter challenges such as compromising privacy or sacrificing utility. To address these issues, w
Externí odkaz:
http://arxiv.org/abs/2307.02277
Autor:
Zhang, Zhenyu, Sheng, Ying, Zhou, Tianyi, Chen, Tianlong, Zheng, Lianmin, Cai, Ruisi, Song, Zhao, Tian, Yuandong, Ré, Christopher, Barrett, Clark, Wang, Zhangyang, Chen, Beidi
Large Language Models (LLMs), despite their recent impressive accomplishments, are notably cost-prohibitive to deploy, particularly for applications involving long-content generation, such as dialogue systems and story writing. Often, a large amount
Externí odkaz:
http://arxiv.org/abs/2306.14048